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Paradigm
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In science and philosophy, a paradigm (/ˈpærədm/ PARR-ə-dyme) is a distinct set of concepts or thought patterns, including theories, research methods, postulates, and standards for what constitute legitimate contributions to a field. The word paradigm is Greek in origin, meaning "pattern". It is closely related to the discussion of theory-ladenness in the philosophy of science.[1][2]

Etymology

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Paradigm comes from Greek παράδειγμα (paradeigma); "pattern, example, sample";[3] from the verb παραδείκνυμι (paradeiknumi); "exhibit, represent, expose";[4] and that from παρά (para); "beside, beyond";[5] and δείκνυμι (deiknumi); "to show, to point out".[6]

In classical (Greek-based) rhetoric, a paradeigma aims to provide an audience with an illustration of a similar occurrence. This illustration is not meant to take the audience to a conclusion; however, it is used to help guide them to get there.

One way of how a paradeigma is meant to guide an audience would be exemplified by the role of a personal accountant. It is not the job of a personal accountant to tell a client exactly what (and what not) to spend money on, but to aid in guiding a client as to how money should be spent based on the client's financial goals. Anaximenes defined paradeigma as "actions that have occurred previously and are similar to, or the opposite of, those which we are now discussing".[7]

The original Greek term παράδειγμα (paradeigma) was used by scribes in Greek texts (such as Plato's dialogues Timaeus [c. 360 BCE] and Parmenides) as one possibility for the model or the pattern that the demiurge supposedly used to create the cosmos.[8][9]

The English-language term paradigm has technical meanings in the fields of grammar (as applied, for example, to declension and conjugation – the 1900 Merriam-Webster dictionary defines the technical use of paradigm only in the context of grammar) and of rhetoric (as a term for an illustrative parable or fable). In linguistics, Ferdinand de Saussure (1857–1913) used paradigm to refer to a class of elements with similarities (as opposed to syntagma – a class of elements expressing relationship.[10]).

The Merriam-Webster Online dictionary defines one usage of paradigm as "a philosophical and theoretical framework of a scientific school or discipline within which theories, laws, and generalizations and the experiments performed in support of them are formulated; broadly: a philosophical or theoretical framework of any kind."[11]

The Oxford Dictionary of Philosophy (2008) attributes the following description of the term in the history and philosophy of science to Thomas Kuhn's 1962 work The Structure of Scientific Revolutions:

Kuhn suggests that certain scientific works, such as Newton's Principia or John Dalton's New System of Chemical Philosophy (1808), provide an open-ended resource: a framework of concepts, results, and procedures within which subsequent work is structured. Normal science proceeds within such a framework or paradigm. A paradigm does not impose a rigid or mechanical approach, but can be taken more or less creatively and flexibly.[12]

Scientific paradigm

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The Oxford English Dictionary defines a paradigm as "a pattern or model, an exemplar; a typical instance of something, an example".[13] The historian of science Thomas Kuhn gave the word its contemporary meaning when he adopted the word to refer to the set of concepts and practices that define a scientific discipline at any particular period of time. In his book, The Structure of Scientific Revolutions (first published in 1962), Kuhn defines a scientific paradigm as: "universally recognized scientific achievements that, for a time, provide model problems and solutions to a community of practitioners,[14] i.e.,

  • what is to be observed and scrutinized
  • the kind of questions that are supposed to be asked and probed for answers in relation to this subject
  • how these questions are to be structured
  • what predictions made by the primary theory within the discipline
  • how the results of scientific investigations should be interpreted
  • how an experiment is to be conducted, and what equipment is available to conduct the experiment.

In The Structure of Scientific Revolutions, Kuhn saw the sciences as going through alternating periods of normal science, when an existing model of reality dominates a protracted period of puzzle-solving, and revolution, when the model of reality itself undergoes sudden drastic change. Paradigms have two aspects. Firstly, within normal science, the term refers to the set of exemplary experiments that are likely to be copied or emulated. Secondly, underpinning this set of exemplars are shared preconceptions, made prior to – and conditioning – the collection of evidence.[15] These preconceptions embody both hidden assumptions and elements that Kuhn describes as quasi-metaphysical.[16] The interpretations of the paradigm may vary among individual scientists.[17]

Kuhn was at pains to point out that the rationale for the choice of exemplars is a specific way of viewing reality: that view and the status of "exemplar" are mutually reinforcing. For well-integrated members of a particular discipline, its paradigm is so convincing that it normally renders even the possibility of alternatives unconvincing and counter-intuitive. Such a paradigm is opaque, appearing to be a direct view of the bedrock of reality itself, and obscuring the possibility that there might be other, alternative imageries hidden behind it. The conviction that the current paradigm is reality tends to disqualify evidence that might undermine the paradigm itself; this in turn leads to a build-up of unreconciled anomalies. It is the latter that is responsible for the eventual revolutionary overthrow of the incumbent paradigm, and its replacement by a new one. Drawing on N. R. Hanson's discussion of theory-ladenness, Kuhn used the expression paradigm shift (see below) for this process, and likened it to the perceptual change that occurs when our interpretation of an ambiguous image "flips over" from one state to another.[18] (The rabbit-duck illusion is an example: it is not possible to see both the rabbit and the duck simultaneously.)[19] This is significant in relation to the issue of incommensurability (see below).[2]

An example of a currently accepted paradigm would be the Standard Model of physics. The scientific method allows for orthodox scientific investigations into phenomena that might contradict or disprove the Standard Model; however grant funding would be proportionately more difficult to obtain for such experiments, depending on the degree of deviation from the accepted Standard Model theory the experiment would test for. To illustrate the point, an experiment to test for the mass of neutrinos or the decay of protons (small departures from the model) is more likely to receive money than experiments that look for the violation of the conservation of momentum, or ways to engineer reverse time travel.

Mechanisms similar to the original Kuhnian paradigm have been invoked in various disciplines other than the philosophy of science. These include: the idea of major cultural themes,[20][21] worldviews (and see below), ideologies, and mindsets. They have somewhat similar meanings that apply to smaller and larger scale examples of disciplined thought. In addition, Michel Foucault used the terms episteme and discourse, mathesis, and taxinomia, for aspects of a "paradigm" in Kuhn's original sense.

Paradigm shifts

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In The Structure of Scientific Revolutions, Kuhn wrote that "the successive transition from one paradigm to another via revolution is the usual developmental pattern of mature science" (p. 12).

Paradigm shifts tend to appear in response to the accumulation of critical anomalies as well as in the form of the proposal of a new theory with the power to encompass both older relevant data and explain relevant anomalies. New paradigms tend to be most dramatic in sciences that appear to be stable and mature, as in physics at the end of the 19th century. At that time, a statement generally attributed to physicist Lord Kelvin famously claimed, "There is nothing new to be discovered in physics now. All that remains is more and more precise measurement."[22] Five years later, Albert Einstein published his paper on special relativity, which challenged the set of rules laid down by Newtonian mechanics, which had been used to describe force and motion for over two hundred years. In this case, the new paradigm reduces the old to a special case in the sense that Newtonian mechanics is still a good model for approximation for speeds that are slow compared to the speed of light. Many philosophers and historians of science, including Kuhn himself, ultimately accepted a modified version of Kuhn's model, which synthesizes his original view with the gradualist model that preceded it. Kuhn's original model is now generally seen as too limited.[citation needed]

Some examples of contemporary paradigm shifts include:

  • In medicine, the transition from "clinical judgment" to evidence-based medicine
  • In social psychology, the transition from p-hacking to replication[23]
  • In software engineering, the transition from the Rational Paradigm to the Empirical Paradigm[24]
  • In artificial intelligence, the transition from classical AI to data-driven AI[25]

Kuhn's idea was, itself, revolutionary in its time. It caused a major change in the way that academics talk about science; and, so, it may be that it caused (or was part of) a "paradigm shift" in the history and sociology of science. However, Kuhn would not recognize such a paradigm shift. Being in the social sciences, people can still use earlier ideas to discuss the history of science.

Paradigm paralysis

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Perhaps the greatest barrier to a paradigm shift, in some cases, is the reality of paradigm paralysis: the inability or refusal to see beyond the current models of thinking.[26] This is similar to what psychologists term confirmation bias and the Semmelweis reflex. Examples include rejection of Aristarchus of Samos', Copernicus', and Galileo's theory of a heliocentric solar system, the discovery of electrostatic photography, xerography and the quartz clock.[citation needed]

Incommensurability

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Kuhn pointed out that it could be difficult to assess whether a particular paradigm shift had actually led to progress, in the sense of explaining more facts, explaining more important facts, or providing better explanations, because the understanding of "more important", "better", etc. changed with the paradigm. The two versions of reality are thus incommensurable. Kuhn's version of incommensurability has an important psychological dimension. This is apparent from his analogy between a paradigm shift and the flip-over involved in some optical illusions.[18] However, he subsequently diluted his commitment to incommensurability considerably, partly in the light of other studies of scientific development that did not involve revolutionary change.[27] One of the examples of incommensurability that Kuhn used was the change in the style of chemical investigations that followed the work of Lavoisier on atomic theory in the late 18th century.[18] In this change, the focus had shifted from the bulk properties of matter (such as hardness, colour, reactivity, etc.) to studies of atomic weights and quantitative studies of reactions. He suggested that it was impossible to make the comparison needed to judge which body of knowledge was better or more advanced. However, this change in research style (and paradigm) eventually (after more than a century) led to a theory of atomic structure that accounts well for the bulk properties of matter; see, for example, Brady's General Chemistry.[28] According to P J Smith, this ability of science to back off, move sideways, and then advance is characteristic of the natural sciences,[29] but contrasts with the position in some social sciences, notably economics.[30]

This apparent ability does not guarantee that the account is veridical at any one time, of course, and most modern philosophers of science are fallibilists. However, members of other disciplines do see the issue of incommensurability as a much greater obstacle to evaluations of "progress"; see, for example, Martin Slattery's Key Ideas in Sociology.[31][32]

Subsequent developments

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Opaque Kuhnian paradigms and paradigm shifts do exist. A few years after the discovery of the mirror-neurons that provide a hard-wired basis for the human capacity for empathy, the scientists involved were unable to identify the incidents that had directed their attention to the issue. Over the course of the investigation, their language and metaphors had changed so that they themselves could no longer interpret all of their own earlier laboratory notes and records.[33]

Imre Lakatos and research programmes

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However, many instances exist in which change in a discipline's core model of reality has happened in a more evolutionary manner, with individual scientists exploring the usefulness of alternatives in a way that would not be possible if they were constrained by a paradigm. Imre Lakatos suggested (as an alternative to Kuhn's formulation) that scientists actually work within research programmes.[34] In Lakatos' sense, a research programme is a sequence of problems, placed in order of priority. This set of priorities, and the associated set of preferred techniques, is the positive heuristic of a programme. Each programme also has a negative heuristic; this consists of a set of fundamental assumptions that – temporarily, at least – takes priority over observational evidence when the two appear to conflict.

This latter aspect of research programmes is inherited from Kuhn's work on paradigms,[citation needed] and represents an important departure from the elementary account of how science works. According to this, science proceeds through repeated cycles of observation, induction, hypothesis-testing, etc., with the test of consistency with empirical evidence being imposed at each stage. Paradigms and research programmes allow anomalies to be set aside, where there is reason to believe that they arise from incomplete knowledge (about either the substantive topic, or some aspect of the theories implicitly used in making observations).

Larry Laudan: Dormant anomalies, fading credibility, and research traditions

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Larry Laudan[35] has also made two important contributions to the debate. Laudan believed that something akin to paradigms exist in the social sciences (Kuhn had contested this, see below); he referred to these as research traditions. Laudan noted that some anomalies become "dormant", if they survive a long period during which no competing alternative has shown itself capable of resolving the anomaly. He also presented cases in which a dominant paradigm had withered away because its lost credibility when viewed against changes in the wider intellectual milieu.

In social sciences

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Kuhn himself did not consider the concept of paradigm as appropriate for the social sciences. He explains in his preface to The Structure of Scientific Revolutions that he developed the concept of paradigm precisely to distinguish the social from the natural sciences. While visiting the Center for Advanced Study in the Behavioral Sciences in 1958 and 1959, surrounded by social scientists, he observed that they were never in agreement about the nature of legitimate scientific problems and methods. He explains that he wrote this book precisely to show that there can never be any paradigms in the social sciences. Mattei Dogan, a French sociologist, in his article "Paradigms in the Social Sciences", develops Kuhn's original thesis that there are no paradigms at all in the social sciences since the concepts are polysemic, involving the deliberate mutual ignorance between scholars and the proliferation of schools in these disciplines. Dogan provides many examples of the non-existence of paradigms in the social sciences in his essay, particularly in sociology, political science and political anthropology.

However, both Kuhn's original work and Dogan's commentary are directed at disciplines that are defined by conventional labels (such as "sociology"). While it is true that such broad groupings in the social sciences are usually not based on a Kuhnian paradigm, each of the competing sub-disciplines may still be underpinned by a paradigm, research programme, research tradition, and/ or professional imagery. These structures will be motivating research, providing it with an agenda, defining what is and is not anomalous evidence, and inhibiting debate with other groups that fall under the same broad disciplinary label. (A good example is provided by the contrast between Skinnerian radical behaviourism and personal construct theory (PCT) within psychology. The most significant of the many ways these two sub-disciplines of psychology differ concerns meanings and intentions. In PCT, they are seen as the central concern of psychology; in radical behaviourism, they are not scientific evidence at all, as they cannot be directly observed.)

Such considerations explain the conflict between the Kuhn/ Dogan view, and the views of others (including Larry Laudan, see above), who do apply these concepts to social sciences.

Handa,[36] M.L. (1986) introduced the idea of "social paradigm" in the context of social sciences. He identified the basic components of a social paradigm. Like Kuhn, Handa addressed the issue of changing paradigm; the process popularly known as "paradigm shift". In this respect, he focused on social circumstances that precipitate such a shift and the effects of the shift on social institutions, including the institution of education. This broad shift in the social arena, in turn, changes the way the individual perceives reality.

Another use of the word paradigm is in the sense of "worldview". For example, in social science, the term is used to describe the set of experiences, beliefs and values that affect the way an individual perceives reality and responds to that perception. Social scientists have adopted the Kuhnian phrase "paradigm shift" to denote a change in how a given society goes about organizing and understanding reality. A "dominant paradigm" refers to the values, or system of thought, in a society that are most standard and widely held at a given time. Dominant paradigms are shaped both by the community's cultural background and by the context of the historical moment. Hutchin [37] outlines some conditions that facilitate a system of thought to become an accepted dominant paradigm:

  • Professional organizations that give legitimacy to the paradigm
  • Dynamic leaders who introduce and purport the paradigm
  • Journals and editors who write about the system of thought. They both disseminate the information essential to the paradigm and give the paradigm legitimacy
  • Government agencies who give credence to the paradigm
  • Educators who propagate the paradigm's ideas by teaching it to students
  • Conferences conducted that are devoted to discussing ideas central to the paradigm
  • Media coverage
  • Lay groups, or groups based around the concerns of lay persons, that embrace the beliefs central to the paradigm
  • Sources of funding to further research on the paradigm

Other uses

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The word paradigm is also still used to indicate a pattern or model or an outstandingly clear or typical example or archetype. The term is frequently used in this sense in the design professions. Design Paradigms or archetypes comprise functional precedents for design solutions. The best known references on design paradigms are Design Paradigms: A Sourcebook for Creative Visualization, by Wake, and Design Paradigms by Petroski.

This term is also used in cybernetics. Here it means (in a very wide sense) a (conceptual) protoprogram for reducing the chaotic mass to some form of order. Note the similarities to the concept of entropy in chemistry and physics. A paradigm there would be a sort of prohibition to proceed with any action that would increase the total entropy of the system. To create a paradigm requires a closed system that accepts changes. Thus a paradigm can only apply to a system that is not in its final stage.

Beyond its use in the physical and social sciences, Kuhn's paradigm concept has been analysed in relation to its applicability in identifying 'paradigms' with respect to worldviews at specific points in history. One example is Matthew Edward Harris' book The Notion of Papal Monarchy in the Thirteenth Century: The Idea of Paradigm in Church History.[38] Harris stresses the primarily sociological importance of paradigms, pointing towards Kuhn's second edition of The Structure of Scientific Revolutions. Although obedience to popes such as Innocent III and Boniface VIII was widespread, even written testimony from the time showing loyalty to the pope does not demonstrate that the writer had the same worldview as the Church, and therefore pope, at the centre. The difference between paradigms in the physical sciences and in historical organisations such as the Church is that the former, unlike the latter, requires technical expertise rather than repeating statements. In other words, after scientific training through what Kuhn calls 'exemplars', one could not genuinely believe that, to take a trivial example, the earth is flat, whereas thinkers such as Giles of Rome in the thirteenth century wrote in favour of the pope, then could easily write similarly glowing things about the king. A writer such as Giles would have wanted a good job from the pope; he was a papal publicist. However, Harris writes that 'scientific group membership is not concerned with desire, emotions, gain, loss and any idealistic notions concerning the nature and destiny of humankind...but simply to do with aptitude, explanation, [and] cold description of the facts of the world and the universe from within a paradigm'.[39]

See also

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Footnotes

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References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
A paradigm is a representative model, , or framework that exemplifies a broader , , or approach, serving as a standard or within a given domain. Originating from the paradigma and parádeigma (meaning "" or "example"), the term entered English in the to denote an exemplar or typical instance. In its most general sense, a paradigm structures thought, , or practice by providing shared assumptions, methods, and examples that guide interpretation and problem-solving. In the , the concept gained prominence through Thomas S. Kuhn's 1962 book , where a paradigm refers to "universally recognized scientific achievements that for a time provide model problems and solutions to a community of practitioners." Kuhn described paradigms as encompassing a "disciplinary matrix"—a constellation of shared commitments including symbolic generalizations, metaphysical assumptions, values, and exemplars—that defines "normal science" within a field until anomalies accumulate, prompting a revolutionary to a new framework. This idea revolutionized understandings of scientific progress, portraying it not as cumulative but as episodic, with shifts like the transition from Ptolemaic to Copernican astronomy exemplifying how paradigms reshape what scientists perceive and investigate. Kuhn's framework has influenced diverse disciplines beyond science, including social sciences, business, and education, where denotes fundamental changes in perspective or practice. In and , a paradigm traditionally denotes a systematic table or set of all inflected forms of a word, such as the conjugations of a or declensions of a , illustrating morphological patterns. This usage, dating to the , highlights paradigms as organized exemplars for structure and variation. In , a is a fundamental style or approach to structuring code and solving computational problems, influencing how languages and algorithms are designed. Common paradigms include imperative (step-by-step instructions, as in ), object-oriented (organizing code around objects and classes, as in ), functional (treating computation as mathematical functions without changing state, as in ), and declarative (specifying what the program should accomplish rather than how, as in SQL). These paradigms allow developers to select methodologies suited to specific tasks, promoting efficiency and maintainability in .

Etymology and Early Concepts

Etymology

The term "paradigm" originates from the ancient Greek word parádeigma, meaning "pattern," "model," or "exemplar," derived from the prefix para- ("beside") and the verb deiknynai ("to show"). This etymological root emphasizes the idea of something displayed alongside another to serve as a comparative standard or template. In , paradeigma held significant conceptual weight, particularly in 's dialogues such as the Timaeus and Parmenides, where it denoted ideal forms or exemplars—eternal, perfect archetypes that imperfect physical objects imitate or participate in. employed the term to articulate the , positioning paradigms as transcendent models guiding the understanding of reality beyond sensory experience. The word transitioned into Latin as paradigma, preserving its connotation of a rhetorical or illustrative pattern. It entered English around the late , mediated through paradigme, initially applied in grammatical contexts to describe a representative example or inflectional table serving as a model for conjugation or . By the 19th and early 20th centuries, "paradigm" broadened to signify exemplary models in various domains, including emerging scientific usages that highlighted structured frameworks for . This linguistic evolution laid the groundwork for its later adoption in philosophical discussions of scientific thought.

Pre-Kuhn Usage

In and , the term "paradigm" has long denoted a systematic table or pattern displaying the inflected forms of a word, serving as a model from which other forms could be derived or inferred, particularly in classical languages like Latin and Greek. This usage originated in the Western grammatical tradition, where paradigms functioned as exemplars for conjugation, , and morphological variation, enabling learners and scholars to grasp relational structures within systems. For instance, a paradigm might outline all tenses, moods, and persons for a root like the Latin amare (to love), providing a template applicable to similar verbs. Philosophically, prior to the 20th century, Aristotle employed "paradeigma" (paradigm) to signify patterns or examples in logic and argumentation, where it served as a normative standard for inference, ethical deliberation, and rhetorical proof by analogy. In his Rhetoric, paradigms functioned as concrete instances or historical examples to support inductive reasoning, bridging particular cases to general principles without relying solely on deduction. Similarly, Immanuel Kant utilized the term in his Critique of Judgment (1790) to describe exemplary judgments in aesthetics and teleology, such as the paradigmatic aesthetic judgment "The rose at which I am looking is beautiful," which exemplifies subjective universality without conceptual subsumption. By the , the concept extended into and as "archetypal examples" or ideal models for and . These applications marked a shift toward paradigmatic thinking in empirical sciences, emphasizing scalable exemplars over isolated observations.

Kuhn's Framework in Science

Core Definition

In his 1962 book , Thomas S. Kuhn defined a scientific paradigm as a shared framework that the members of a accept, one that, for a time, provides model problems and solutions to a community of practitioners. This concept represents an accepted model or encompassing exemplary theories, methodological tools, and evaluative standards that unify scientific inquiry within a discipline. Kuhn's introduction of the term drew on its pre-existing linguistic sense as a pattern or exemplar, adapting it to describe the cohesive structure underlying scientific progress. A paradigm comprises both explicit and implicit elements that guide scientific work. Explicit components include formalized rules and symbolic generalizations, such as , which serve as precise directives for applying the paradigm to new problems. Implicit aspects encompass the shared assumptions, values, and metaphysical commitments held by the community, fostering consensus on what constitutes a valid scientific explanation without needing constant articulation. Together, these form what Kuhn termed the "disciplinary matrix," the broader set of beliefs and practices that bind scientists in their daily endeavors. Paradigms play a foundational role in defining "normal science," the predominant phase of scientific activity characterized by puzzle-solving within the paradigm's established boundaries. In this context, scientists engage in extending, articulating, and refining the paradigm through targeted research, treating deviations as solvable puzzles rather than fundamental challenges to the framework itself. This puzzle-solving orientation ensures cumulative advancement, as practitioners build upon shared exemplars—concrete problem-solutions that exemplify the paradigm's application. Illustrative historical paradigms include the Ptolemaic system of astronomy, which modeled planetary motions using geocentric epicycles and equants as a coherent explanatory framework from the 2nd century CE until the 16th century. Similarly, Aristotelian physics provided a paradigm through its teleological principles of motion and change, positing natural places and tendencies that dominated scientific thought for nearly two millennia. These examples highlight how paradigms delimit the scope of legitimate inquiry, shaping both the problems deemed worthy of investigation and the criteria for acceptable resolutions.

Normal Science and Anomalies

Normal science constitutes the predominant mode of scientific activity within a mature paradigm, characterized by research that applies the paradigm's established theories, methods, and exemplars to address predefined problems or "puzzles." This routine work focuses on extending the paradigm's reach, refining its predictions, and resolving discrepancies that arise from its application, rather than challenging its core assumptions. As Kuhn describes, normal science is "research firmly based upon one or more past scientific achievements, achievements that some particular acknowledges for a time as supplying the foundation for its further practice." In practice, this manifests as day-to-day investigations using the paradigm's tools to accumulate incrementally, such as astronomers under the Newtonian framework performing calculations of planetary orbits to match observational and improve gravitational models. Within this framework, progress occurs through puzzle-solving, where devote effort to articulating the paradigm more precisely and applying it to new domains, thereby enhancing the community's shared understanding. Kuhn argues that this activity is highly directed and efficient precisely because the paradigm constrains the types of questions posed and the acceptable solutions, fostering a of cumulative advancement despite the absence of revolutionary breakthroughs. For example, in the context of Newtonian mechanics, normal science involved routine tasks like determining ephemerides for celestial bodies, which filled gaps in predictive accuracy without altering the underlying laws of motion and gravitation. Anomalies emerge as observations or experimental outcomes that resist integration into the paradigm's explanatory , representing phenomena that the established theories and methods fail to account for adequately. Initially, such discrepancies are often dismissed as errors in , incomplete , or minor exceptions that can be reconciled through further normal science efforts. However, as anomalies accumulate—through repeated failures to resolve them using paradigm-guided approaches—they begin to erode the confidence of the in the paradigm's completeness and reliability. A representative case is the anomalous of Mercury's perihelion, observed in the , which deviated from predictions of Newtonian mechanics and remained unresolved, contributing to the crisis that led to the adoption of . The crisis stage develops when these unresolved anomalies proliferate to the point of constituting a significant threat to the paradigm's viability, prompting scientists to question its foundational tenets and explore alternative explanations. This phase marks a breakdown in the smooth progress of normal , as the accumulation of inconsistencies undermines the paradigm's directive power over research. Kuhn views normal as the engine of scientific progress, enabling detailed elaboration and incremental gains in , but only within the bounded constraints imposed by the reigning paradigm, which both enables and limits discovery.

Dynamics of Scientific Change

Paradigm Shifts

In Thomas Kuhn's framework, a represents a fundamental transformation in the basic assumptions and methods of a scientific , occurring when a new paradigm achieves widespread acceptance and supplants the established one during a . This process typically arises from the accumulation of anomalies that cannot be reconciled within the prevailing paradigm, leading to a that is ultimately resolved by the adoption of a rival framework offering greater and puzzle-solving capacity. Unlike incremental progress, paradigm shifts are non-cumulative, involving a gestalt-like reconfiguration of scientists' worldviews where problems, solutions, and even the perception of phenomena are redefined. The dynamics of such shifts often unfold through the proposal of a candidate paradigm that addresses unresolved anomalies more effectively, prompting a revolutionary reevaluation of foundational concepts. A classic illustration is the transition from the geocentric to the heliocentric model of the solar system in the 16th and 17th centuries, where Nicolaus Copernicus's 1543 publication De revolutionibus orbium coelestium challenged the Earth-centered Ptolemaic system by positing the Sun at the center, supported by empirical evidence from Galileo Galilei's telescopic observations of Jupiter's moons and Venus's phases, and Johannes Kepler's laws of planetary motion derived from Tycho Brahe's data. This shift resolved longstanding inconsistencies in predicting celestial motions, fundamentally altering astronomers' conceptual map of the universe. Another pivotal example is the early 20th-century emergence of and relativity, which displaced by accommodating anomalies in phenomena like and the constancy of light speed. Max Planck's 1900 quantization of laid groundwork, but Albert Einstein's 1905 special revolutionized space-time concepts by resolving conflicts between Newtonian mechanics and Maxwell's , demonstrating that time and space are relative rather than absolute. This paradigm transition entailed a profound conceptual rupture, as classical notions of and continuity gave way to probabilistic and relativistic principles, reshaping physics' interpretive framework.

Paradigm Paralysis

Paradigm paralysis describes a state where individuals, scientific communities, or institutions rigidly adhere to established paradigms, refusing or failing to recognize compelling evidence that necessitates a shift, thereby fostering stagnation and hindering . This condition manifests as an inability to envision alternatives beyond entrenched models of thought, often leading to the dismissal of anomalous as errors rather than indicators of deeper flaws. Coined by Joel A. Barker in his explorations of paradigm dynamics, the term underscores how deeply held assumptions can blind practitioners to transformative possibilities. Several interconnected causes contribute to paradigm paralysis, including cognitive biases that reinforce existing beliefs and institutional factors that entrench the . Cognitive biases, such as —where individuals favor information aligning with preconceptions—and , which creates resistance to change due to perceived risks, play a central role in perpetuating outdated views at the psychological level. Institutional inertia arises from the embedded structures of scientific communities, where , , and career advancement reward adherence to dominant paradigms, making deviation costly. Vested interests further exacerbate this, as professionals and organizations with significant investments in the prevailing framework actively oppose challenges to maintain authority and resources. Historical examples illustrate how paradigm paralysis delays progress in scientific fields. In geology, the fixist paradigm, which posited stationary continents, persisted until the mid-1960s despite accumulating evidence for , such as matching fossils and rock formations across oceans; resistance stemmed from the absence of a mechanistic explanation and entrenched opposition from leading geologists, only resolved by the unifying theory of . Similarly, in 19th-century medicine, the attributing diseases to "bad air" dominated, slowing the adoption of germ theory proposed by and ; despite experimental demonstrations linking specific microbes to illnesses like and , institutional skepticism and lack of immediate diagnostic tools prolonged reliance on ineffective treatments, contributing to widespread epidemics. The consequences of paradigm paralysis are profound, often resulting in stalled advancements, inefficient , and avoidable harm. In scientific contexts, it prolongs periods of by suppressing anomaly resolution, diverting efforts toward patching flawed models rather than pursuing revolutionary insights, as seen in delayed reforms following germ theory's emergence. This inertia not only impedes knowledge growth but also amplifies societal costs, such as extended disease outbreaks or missed opportunities in resource exploration. Within Thomas Kuhn's framework, paradigm paralysis extends his analysis of the underlying scientific revolutions, particularly during the crisis phase where accumulating anomalies provoke resistance rather than immediate adaptation. Kuhn observed that , trained within a paradigm, experience psychological discomfort with alternatives, leading to defensive maneuvers that delay shifts until the old framework becomes untenable. Barker's concept thus builds on this by emphasizing proactive awareness to mitigate such resistance, aligning with Kuhn's view that scientific change involves non-cumulative, community-driven processes influenced by human factors beyond pure .

Philosophical Implications

Incommensurability

In Thomas Kuhn's seminal work, (1962), the concept of incommensurability refers to the fundamental incompatibility between competing scientific paradigms, such that scientists operating within different paradigms perceive and describe the world in ways that cannot be directly translated or compared using a shared framework. Kuhn argued that paradigms, which encompass shared theories, methods, and exemplars, shape the very language and conceptual tools of a , rendering terms like "" in Newtonian mechanics—understood as an absolute, —incommensurable with the relativistic conception of as variable and convertible with . This semantic shift means that adherents of rival paradigms do not merely disagree on facts but inhabit distinct "worlds," where observational reports and theoretical commitments lack a neutral common measure. A classic historical illustration of incommensurability is the eighteenth-century chemical revolution, where the posited as the release of a substance called phlogiston from materials, while Lavoisier's oxygen theory redefined it as a combination with oxygen, eliminating phlogiston entirely and reorganizing chemical classifications around new categories like "acids" and "oxides" that had no direct equivalents in the prior paradigm. In this transition, problems solvable under phlogiston—such as weight gain in —became anomalies, and resolution required adopting the oxygen framework rather than logical deduction from shared premises. The implications of incommensurability are profound for scientific : without a neutral language or set of criteria to evaluate competing paradigms, cannot rely on objective proof but involves elements of , gestalt-like conversion, and appeal to shared values like and fruitfulness. Paradigm shifts thus resemble religious conversions more than cumulative progress, as scientists must learn the new paradigm's worldview through immersion rather than translation. Kuhn's thesis drew criticisms for implying scientific relativism, where no rational grounds exist to prefer one paradigm over another, potentially undermining the objectivity of . In response, Kuhn refined his views in "Reflections on My Critics" (), clarifying that incommensurability does not preclude all communication or overlap between paradigms—shared background and partial translations allow for —but applies primarily to the specialized taxonomies and problem-solving lexicons unique to each. This moderation emphasized that while full commensuration is impossible during crises, scientific communities can still achieve convergence through training and exemplars that bridge gaps.

Critiques and Alternatives

Kuhn's framework faced significant critiques in the 1970s and beyond, particularly for its perceived implications of , where paradigms were seen as incommensurable, making rational comparison between them difficult or impossible. Critics argued that this undermined the objectivity of scientific progress, suggesting that shifts between paradigms were more akin to gestalt switches than rational deliberations. Kuhn responded to these charges by clarifying that incommensurability was not total but partial, allowing for some overlap in and across paradigms, thus preserving a form of within the scientific enterprise. One prominent alternative was Imre Lakatos's methodology of scientific research programmes, developed in the 1970s, which sought to mediate between Popper's falsificationism and Kuhn's paradigms. Lakatos proposed that scientific progress occurs through research programmes consisting of a "hard core" of fundamental theories protected by a "protective belt" of auxiliary hypotheses that can be adjusted to accommodate anomalies. Programmes are deemed progressive if they predict novel facts and expand , whereas degenerating programmes merely ad hocly defend against refutations without new predictions, eventually warranting replacement by rivals. Larry Laudan offered another critique and alternative in his 1977 reticulated model of scientific change, emphasizing problem-solving effectiveness over Kuhn's incommensurability. In this view, through research traditions—clusters of theories and methods—that compete based on their ability to resolve empirical, conceptual, and practical problems, with measured by net increases in solved problems relative to unsolved ones (including "dormant anomalies" that may fade over time and declining credibility as contradictions accumulate). Laudan's approach rejects rigid paradigm boundaries, advocating a dynamic interplay among theories, problems, and methodologies to evaluate traditions holistically. Paul Feyerabend's epistemological , articulated in his 1975 work , provided a more radical critique, rejecting Kuhn's paradigms as overly constraining and methodologically authoritarian. Feyerabend argued that no universal rules or paradigms govern scientific success, advocating "" to promote pluralism and creativity, as historical examples like Galileo's showed that counter-induction and proliferation of theories often drive more effectively than dogmatic adherence to paradigms. This anarchistic stance countered accusations of by emphasizing democratic proliferation over imposed rationality. In response to these critiques, Kuhn refined his ideas from the through the , acknowledging greater degrees of commensurability in later writings. For instance, in his essay, he distinguished incommensurability from incomparability, arguing that while paradigms may lack a shared metric, gestalt-like translations and partial overlaps enable scientists to communicate and compare across shifts. By the , Kuhn further emphasized taxonomic incommensurability—differences in categorization schemes—while maintaining that scientific revolutions remain rational processes guided by evidential persuasion within evolving linguistic frameworks.

Applications in Social Sciences

Conceptual Adaptation

In the social sciences, Thomas Kuhn's concept of a paradigm has been adapted to describe dominant worldviews or methodological frameworks that guide research and interpretation in disciplines such as and , where they function as shared cognitive and normative structures shaping how phenomena are understood and analyzed. This transfer reframes paradigms not merely as scientific exemplars but as encompassing broader ideological and interpretive lenses that influence the production of knowledge in human-centered fields. A key adaptation in these fields involves heightened attention to power dynamics and , diverging from Kuhn's more neutral emphasis on . Influenced by Michel Foucault's analyses, paradigms are reconceived as discursive formations—networks of statements and practices that sustain power relations and exclude alternative viewpoints—thus integrating political and institutional forces into the framework. For example, in , this perspective highlights how paradigms legitimize certain social hierarchies while marginalizing others through controlled discourses. Unlike paradigms in the natural sciences, which typically foster periods of stable consensus among experts, those in the social sciences are frequently more fragmented and contested, lacking universal agreement due to the interpretive nature of and the influence of cultural contexts. Paradigm shifts in these areas often arise not solely from accumulating anomalies but from broader social movements, , and ideological upheavals that challenge entrenched assumptions. Foundational applications of this adapted concept appear in the , notably in and Thomas Luckmann's 1966 work , which posits that everyday knowledge and social realities are constructed through paradigmatic processes of habitualization, institutionalization, and , thereby extending Kuhnian ideas to explain the maintenance of societal worldviews. This text underscores how social paradigms emerge from interactive processes rather than isolated scientific puzzles, providing a bridge between Kuhn's framework and phenomenological .

Key Examples

In sociology, the paradigm of structural functionalism, prominently advanced by Talcott Parsons in works such as The Social System (1951), dominated mid-20th-century analysis by viewing society as a stable system of interconnected parts functioning to maintain equilibrium. This approach emphasized consensus, norms, and integration, often downplaying power imbalances. However, by the 1960s, anomalies like civil rights movements, anti-war protests, and rising inequality exposed its limitations in addressing social conflict, leading to a paradigm shift toward conflict theory. Influenced by Marxist ideas of class struggle, conflict theorists such as C. Wright Mills in The Sociological Imagination (1959) critiqued functionalism for ignoring elite power structures, while Ralf Dahrendorf's Class and Class Conflict in Industrial Society (1959) reframed conflict as inherent to authority relations in modern organizations, institutionalizing it as a driver of change rather than mere dysfunction. This shift, peaking in the 1960s-1970s, adapted sociological inquiry to focus on inequality and power dynamics, with Marxist humanism gaining traction through figures like Antonio Gramsci's hegemony concept. In economics, the Keynesian paradigm, originating from John Maynard Keynes's The General Theory of Employment, Interest, and Money (1936), guided policy from the 1930s through the 1970s by advocating government intervention via fiscal stimulus to manage demand and achieve full employment. It underpinned post-World War II welfare states and growth in Western economies, prioritizing macroeconomic stability over market self-regulation. Yet, the 1970s —simultaneous high and , exemplified by the early 1980s with inflation reaching about 13.5% in 1980 and unemployment peaking at 10.8% in 1982—challenged Keynesian assumptions of a stable trade-off, revealing anomalies in its ability to handle supply shocks like oil crises. This crisis facilitated a to in the 1980s, promoted by economists like through monetarist policies emphasizing controlled money supply and deregulation, as implemented in Reagan's U.S. and Thatcher's U.K. administrations. Neoliberalism reframed economic stability around free markets, , and reduced state roles, influencing global institutions like the IMF and sustaining dominance into the early despite critiques of rising inequality. In education, the behaviorist paradigm, rooted in the works of and earlier figures like John Watson in the early-to-mid-, shaped through stimulus-response mechanisms, emphasizing observable behaviors, , and via rewards or punishments in drills and standardized testing. This approach, dominant until the 1960s, treated learners as passive recipients, with teaching methods focused on measurable outcomes like skill acquisition through repetition. Anomalies arose from evidence that such methods failed to foster deep understanding or creativity, particularly amid cultural shifts toward individualism post-World War II. The resulting to constructivism in the late , drawing on Jean Piaget's cognitive developmental stages outlined in The Psychology of Intelligence (1950) and Lev Vygotsky's social interaction theories in Thought and Language (1962), repositioned education as an active process where learners construct through experiences, , and . Constructivist , emphasizing and student-centered environments, became widely adopted in curricula by the 1980s-1990s, prioritizing meaning-making over behavioral conditioning. In organizational studies, Max Weber's bureaucratic paradigm, detailed in Economy and Society (1922), established an ideal type of rational administration characterized by hierarchical , formalized rules, specialization, and impersonality to ensure in large-scale entities like governments and corporations. This model, influential from the early through the mid-20th century, supported industrial-era stability by minimizing arbitrariness and promoting predictability. However, post-1970s anomalies such as rapid , , and the highlighted rigidities like slow and employee alienation, prompting a shift to post-bureaucratic models in the 1980s-1990s. These models, as theorized by Charles Heckscher in The Post-Bureaucratic Organization (1994), favor flexible networks, decentralized , and collaborative cultures to harness and adaptability in dynamic environments. Post-bureaucratic approaches integrate elements like team-based structures and continuous learning, evident in tech firms, while retaining some Weberian efficiencies for hybrid forms.

Broader Applications

In Linguistics and Philosophy

In linguistics, the term "paradigm" traditionally refers to a systematic table or set of related word forms that illustrate inflectional patterns, such as the conjugations of a or declensions of a , serving as a model for grammatical structure. This usage traces back to and Latin grammatical traditions, where paradigms functioned as exemplars for teaching morphology. Ferdinand de Saussure's structuralist approach in (1916) elevated the concept by emphasizing language as a of signs and relations, where paradigmatic relations contrast with syntagmatic ones, highlighting choices among alternative forms within a structured whole. A significant shift occurred in the mid-20th century with Noam Chomsky's development of , which moved away from descriptive toward a formal, rule-based model of syntax and innate . In works like (1957), Chomsky introduced transformational-generative rules that redefined paradigms not as static inflectional tables but as underlying universal grammars generating infinite sentences, marking a revolutionary change in linguistic theory during the 1950s and 1960s. This transition emphasized computational and cognitive aspects, influencing subsequent paradigms in and formal semantics. In , paradigms appear as exemplars or ideal models guiding ethical and metaphysical inquiry, distinct from empirical scientific frameworks. Aristotle employed paradigms in , portraying the magnanimous individual or the phronimos (person of practical wisdom) as paradigmatic figures whose actions exemplify virtues like courage and justice, providing concrete standards for moral habituation in . Similarly, Plato's in metaphysics posits eternal, perfect paradigms (paradeigmata) as the true realities beyond the sensible world, with physical objects participating in these forms as imperfect copies, as elaborated in dialogues like Timaeus and . Contemporary analytic philosophy extends this usage to thought experiments, where paradigms serve as illustrative cases to test conceptual boundaries. Edmund Gettier's 1963 paper "Is Justified True Belief Knowledge?" introduced paradigmatic counterexamples—such as the "Smith-Jones" and "Ford" cases—that challenged the traditional definition of as justified true belief, prompting widespread reevaluation in and spawning responses like and . These examples function as static benchmarks for refining philosophical definitions rather than evolving frameworks. Unlike Thomas Kuhn's dynamic scientific paradigms, which involve revolutionary shifts and incommensurability between competing theories in natural sciences, the notion of paradigm in and remains more static and exemplary, focusing on enduring patterns or models without implying radical breaks in disciplinary progress. This distinction underscores paradigms' role as foundational tools for analysis in humanistic fields, prioritizing consistency over transformation.

In Technology and Management

In technology, paradigms refer to fundamental frameworks that structure software development and computational approaches, evolving through distinct shifts that redefine problem-solving methods. The transition from procedural programming, which emphasized step-by-step instructions in languages like Fortran and C during the 1960s and 1970s, to object-oriented programming (OOP) in the 1970s and 1980s marked a pivotal paradigm shift by encapsulating data and behavior into reusable objects, improving modularity and scalability in complex systems. This change was exemplified by Alan Kay's development of Smalltalk at Xerox PARC in the early 1970s, which introduced concepts like classes and inheritance, influencing subsequent languages such as C++ (1985) and Java (1995). By the 1990s, declarative paradigms gained prominence, contrasting with imperative styles by specifying what outcomes are desired rather than how to achieve them; functional programming in Haskell, a purely functional language whose initial report was published in 1990, exemplified this by leveraging lazy evaluation and higher-order functions to promote immutability and composability, reducing side effects in concurrent applications. In , paradigms have similarly transformed organizational practices, beginning with Frederick Winslow Taylor's in 1911, which applied systematic analysis to optimize worker efficiency through time studies and standardized tasks, laying the foundation for industrial-era productivity. This mechanistic approach dominated until the late , when shifts toward human-centered models emerged, culminating in the paradigm articulated in the 2001 Agile Manifesto, which prioritizes iterative development, collaboration, and adaptability over rigid planning to address dynamic project environments in software and beyond. Agile's adoption has since permeated non-technical , fostering cross-functional teams and continuous feedback loops that enhance responsiveness in volatile markets. Business and innovation paradigms have evolved to emphasize disruption over incremental improvement, as outlined by Clayton M. Christensen in his 1997 book , which introduced the concept of —where simpler, affordable technologies initially target underserved markets but eventually upend established leaders by improving along non-traditional trajectories. Post-2010 digital transformation exemplifies this paradigm, integrating , , and AI to redefine business models; for instance, companies like shifted from DVD rentals to streaming, disrupting traditional media through scalable digital platforms that prioritize user data and personalization. This era's paradigm stresses ecosystem integration and rapid iteration, enabling firms to achieve amid . Emerging paradigms in highlight ongoing tensions between and connectionist approaches, with AI dominating the 1980s through rule-based systems for , as in expert systems like for , while connectionist paradigms, rooted in neural networks, resurged in the late 1980s via algorithms to model without explicit programming. The 2020s have advanced connectionist paradigms through transformer architectures and large language models (LLMs), as pioneered in the 2017 paper "Attention Is All You Need," which introduced self-attention mechanisms for efficient sequence processing, enabling models like (2020) to generate human-like text via massive-scale training on diverse data. Subsequent models, such as (2023) and (2023), have further advanced this by incorporating multimodal capabilities and improved reasoning, as seen in top LLMs as of 2025. These shifts underscore a hybrid trajectory, blending symbolic reasoning with connectionist learning to tackle complex, real-world tasks in areas like autonomous systems.

References

  1. https://en.wiktionary.org/wiki/paradigm
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