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Record W2602805678 · doi:10.1017/9781316716694

The Cambridge Companion to Chomsky

2017· book· en· W2602805678 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2017
Typebook
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsMcGill University
Fundersnot available
KeywordsSection (typography)PoliticsLinguisticsPhilosophyPolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

This completely new edition of The Cambridge Companion to Chomsky surveys Chomsky's contributions to the science of language, to socioeconomic-political analysis and criticism, and to the study of the human mind. The first section focuses on the aims of Chomsky's recent 'biological-minimalist' turn in the science of language, and shows how Chomsky's view of the nature of language and its introduction to the human species has recently developed. The second section focuses on Chomsky's view of the mind and its parts - and how to study them. Finally, the third section examines some of Chomsky's many contributions to socio-political history and critique. This new edition examines Chomsky's views on a wide range of issues, from his views of the lexicon, language's evolution, and the study of mind to the status of capitalism and the Palestine-Israel conflict. It will be essential reading for anyone with an interest in Chomsky's ideas.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.074
Threshold uncertainty score0.247

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0030.004
Scholarly communication0.0060.007
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0740.025

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 head0.035
GPT teacher head0.217
Teacher spread0.182 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations30
Published2017
Admission routes1
Has abstractyes

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