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Record W37186163 · doi:10.1002/wcs.1649

Embodiment and language.

2023· article· en· W37186163 on OpenAlex
Andrés Vidal

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

VenuePubMed · 2023
Typearticle
Languageen
FieldComputer Science
TopicParallel Computing and Optimization Techniques
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsComputer scienceParallel computingMultithreadingScalabilityAsynchronous communicationMulti-core processorSolverComputationCacheCPU cacheDecoupling (probability)Thread (computing)AlgorithmComputer network

Abstract

fetched live from OpenAlex

The findings of cognitive linguistics demonstrate the thoroughly embodied grounding of linguistic constructions and linguistic meaning ranging from abstract thought to interactive communication. A historical survey and updated summary of work in this area illustrates the many layers of bodily meaning that we rely on when thinking and communicating as human beings. Key distinctions, definitions, and clarifications, plus an overview of key works on embodied cognition in cognitive linguistics provide necessary context for understanding specific aspects of linguistic embodiment, including schemas and iconicity, mapping and metaphor, categories and projections, embodied grammar and abstract thought, intersubjectivity, and textual meaning. Realigning philosophical presuppositions with the findings of cognitive linguistics has important consequences: Body and mind can be reunited in lived experience. Both imaginative thought and rational thought can be understood as reliant on the same movement and memory structures. Even the most habituated form-content relationships in language can be understood as growing out of vital networks of real-world experiential relations, from the personal to the interpersonal. And instead of being understood as the narrow purview of semantics and pragmatics, the study of meaning can be embraced as the purpose and function of linguistics. These consequences have potential for revolutionizing scientific inquiry and theory building across a wide array of disciplines. This article is categorized under: Linguistics > Cognitive Linguistics Psychology > Language Philosophy > Foundations of Cognitive Science.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.956
Threshold uncertainty score0.134

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.241
Teacher spread0.222 · 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