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Apprivoiser un gnou et libérer des lucioles :

2018· book-chapter· fr· W3022435549 on OpenAlexaff
Violaine Kanmacher

Bibliographic record

Venuenot available
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsBibliothèque et Archives nationales du Québec
Fundersnot available
KeywordsPolitical scienceArt

Abstract

fetched live from OpenAlex

Par nature, la bibliothèque est le lieu idéal pour penser l’EAC : elle touche un large public en étant centrale et gratuite, elle s’adresse à tous par la richesse et la diversité de ses collections, enfin elle s’inscrit dans un territoire culturel et le fait rayonner.E-ducere, conduire hors de… quitter sa motte de terre, son paysage familier, son quotidien pour aller à la rencontre, à la découverte, à l’aventure, faire éclore, élever. Quelle magnifique mission pour les bibliothèques. Pourquo...

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)0.002
metaresearch head score (Gemma)0.005
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: Other
Teacher disagreement score0.038
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0110.014
Scholarly communication0.0120.011
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0190.007

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 head0.087
GPT teacher head0.273
Teacher spread0.187 · 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
Published2018
Admission routes1
Has abstractyes

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