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Record W4230796445 · doi:10.1017/langcog.2016.24

LCO volume 8 issue 3 Cover and Back matter

2016· paratext· en· W4230796445 on OpenAlexaff
Andrea Tyler, Nick Ellis, Joan Bybee, Richard File-Muriel, Ricardo Napoleão, de Souza

Bibliographic record

VenueLanguage and Cognition · 2016
Typeparatext
Languageen
FieldEnvironmental Science
TopicEnvironmental Impact and Sustainability
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCover (algebra)Volume (thermodynamics)Action (physics)Content (measure theory)Computer scienceMathematicsEngineeringPhysicsMechanical engineering

Abstract

fetched live from OpenAlex

research including psychology, linguistics, cognitive science, speech pathology and anthropology.The interdisciplinary and crosslinguistic perspective spans a wide range of interests: phonology, phonetics, morphology, syntax, vocabulary, semantics, pragmatics, sociolinguistics and other recognised aspects of language study.In addition to articles and brief research reports, the journal also features occasional review articles plus invited commentaries.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.097
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0090.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.9030.860

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 head0.004
GPT teacher head0.223
Teacher spread0.219 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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