MétaCan
Menu
Back to cohort
Record W3132314703 · doi:10.4000/rfsic.10793

Comby, J.-B., & Pagis, J. (Éds). Politiques de catégorisation du monde social

2021· article· fr· W3132314703 on OpenAlexaff
Yves Laberge

Bibliographic record

VenueRevue française des sciences de l’information et de la communication · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPolitical scienceSociologyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Tout ce qui touche de près ou de loin les systèmes de classification et les catégorisations peut intéresser autant les sociologues de la connaissance et les philosophes ; on se souviendra de l’ouvrage indémodable de Patrick Tort portant précisément sur La Raison classificatoire (1989), qui proposait à lui seul presque tout un programme de recherche. Le dossier thématique n° 10 de la revue Politiques de communication, consacré aux « Politiques de catégorisation du monde social », contient six ...

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)0.004
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.062
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0090.014
Science and technology studies0.0060.007
Scholarly communication0.0110.017
Open science0.0020.003
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0200.006

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 head0.074
GPT teacher head0.348
Teacher spread0.274 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueRevue française des sciences de l’information et de la communicationSame topicFrench Urban and Social StudiesFrench-language works237,207