MétaCan
Menu
Back to cohort
Record W2095991957 · doi:10.1017/cbo9781139342872

The Cambridge Handbook of Linguistic Anthropology

2014· book· en· W2095991957 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

VenueCambridge University Press eBooks · 2014
Typebook
Languageen
FieldSocial Sciences
TopicLanguage and cultural evolution
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAnthropological linguisticsSociologyLinguistic anthropologyField (mathematics)InterdisciplinaritySociology of languageInstinctLinguisticsAnthropologyDiversity (politics)Applied linguisticsSocial scienceComprehension approachLanguage educationPhilosophyEcologyClinical linguistics

Abstract

fetched live from OpenAlex

The field of linguistic anthropology looks at human uniqueness and diversity through the lens of language, our species' special combination of art and instinct. Human language both shapes, and is shaped by, our minds, societies, and cultural worlds. This state-of-the-field survey covers a wide range of topics, approaches and theories, such as the nature and function of language systems, the relationship between language and social interaction, and the place of language in the social life of communities. Promoting a broad vision of the subject, spanning a range of disciplines from linguistics to biology, from psychology to sociology and philosophy, this authoritative handbook is an essential reference guide for students and researchers working on language and culture across the social sciences.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.697
Threshold uncertainty score0.944

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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.016
GPT teacher head0.245
Teacher spread0.229 · 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