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Record W3203415152 · doi:10.5539/elt.v14n10p84

The Correlation between Old and New Linguistic Paradigms: A Literature Review Based on Kuhn’s School of Thoughts

2021· review· en· W3203415152 on OpenAlexvenueno aff
Hanan Sarhan Alsubaiai

Bibliographic record

VenueEnglish Language Teaching · 2021
Typereview
Languageen
FieldArts and Humanities
Topiclinguistics and terminology studies
Canadian institutionsnot available
Fundersnot available
KeywordsGenerative grammarLinguisticsTransformational grammarTheoretical linguisticsPsychologyGrammarApplied linguisticsMinimalist programUniversal grammarVocabularyArgument (complex analysis)PhonologyQuantitative linguisticsSociologyPhilosophy

Abstract

fetched live from OpenAlex

This study aims to assess the evidence regarding the relationship between previous and new schools of linguistics. According to Kuhn (1970), old linguistic paradigms incorporate vocabulary and apparatus from previous or traditional paradigms. In particular, this review addresses the Question: Do new paradigms in linguistic arise from old or previous ones, as Kuhn suggested? The study is significant in understanding emerging schools of linguistics based on previous ones. A qualitative literature review was applied to compare new and old schools of linguistics. According to the findings, there is substantial evidence that functionalism, structuralism, and Transformational-Generative Grammar support Kuhn's argument. Most notably, the changes of the transformational-generative grammar from a consistent and straightforward Standard Theory to an improved Extended Standard Theory, and finally, to the Minimalist Program, point towards the same conclusion. Interestingly, the transformations demonstrate how new paradigms arise from old paradigms without borrowing many concepts, terms, and experiments from them. This study draws the attention of linguists in the 21st Century to pay closer attention to the trends in schools of linguistics. 

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.887
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.312
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueEnglish Language TeachingSame topiclinguistics and terminology studiesFrench-language works237,207