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Exploring Cognitive Linguistics

2023· article· en· W4389396936 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCommunications in Humanities Research · 2023
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCognitive linguisticsCognitive scienceCognitionPsycholinguisticsPsychologyLanguage and Communication TechnologiesSociocultural linguisticsMedia linguisticsApplied linguisticsComprehensionLinguisticsCognitive psychologyQuantitative linguisticsLanguage technologyComprehension approachLanguage education

Abstract

fetched live from OpenAlex

In recent years, cognitive linguistics has gained significant traction and recognition among researchers and individuals with a vested interest in the fields of linguistics and cognitive science. This paper serves the purpose of shedding light on some of the most current and pioneering research endeavors in this domain, while also assessing their contributions towards unraveling the intricate nuances of cognitive language processing. Cognitive linguistics represents a paradigm shift in the study of language and cognition, departing from the traditional structuralist and generative approaches. It posits that language is deeply intertwined with human cognitive processes, and therefore, understanding the cognitive aspects of language use is paramount. The contemporary studies explored in this paper have played a pivotal role in advancing this perspective. These studies employ an array of methodologies and approaches, such as neuroimaging, psycholinguistics, and corpus analysis, to investigate how humans conceptualize and process language. One notable study may delve into the neural mechanisms involved in metaphor comprehension, revealing that metaphors are not mere linguistic embellishments but rooted in the perceptual and experiential systems. Another cutting-edge research area might involve examining the influence of linguistic relativity on thought, challenging the idea that language is a neutral medium for thought and instead highlighting how language structures shape the cognitive experiences. These investigations are revolutionizing the understanding of linguistic diversity and the extent to which it influences cognition. In sum, this paper aims to provide a comprehensive overview of recent research endeavors within cognitive linguistics and to underscore their significance in unveiling the intricate processes of cognitive language comprehension. These studies have collectively contributed to the growing body of knowledge surrounding how language and thought are inherently entwined, reshaping the landscape of linguistic and cognitive inquiry.

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.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.799
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.003

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 head0.714
GPT teacher head0.525
Teacher spread0.190 · 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