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Record W6949091173 · doi:10.5281/zenodo.11222049

Le modèle Diamant. Table ronde : "L'accès à l'information comme pilier des objectifs de développement durable". Salon International de l'Edition et du Livre. Rabat (Maroc). 16 mai 2024

2024· article· fr· W6949091173 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)LiteracyAccess to information

Abstract

fetched live from OpenAlex

L'exposé présente les différents modèles économique de la publication scientifique et les problèmes actuels des frais de publication. L'accent est mis sur le modèle Diamant, financé par les institutions et où les auteurs ne payent pas pour publier et les articles scientifiques sont en libre accès sans frais supplémentaires. Cette présentation est à mettre dans le contexte les deux autres interventions de la table ronde. Bibliothèques et information literacy en Afrique. Bernard Dione, Directeur des études de l’École de Bibliothécaires, Université Cheikh Anta Diop de Dakar.Open access comme pilier du développement durable. Loubna Ghaouti, Directrice générale des bibliothèques de l’Université Laval, Québec.

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)0.013
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 score0.083
Threshold uncertainty score0.218

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.004
Science and technology studies0.0010.002
Scholarly communication0.0080.007
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0650.008

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 head0.124
GPT teacher head0.288
Teacher spread0.164 · 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
Published2024
Admission routes1
Has abstractyes

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Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicCultural Insights and Digital Impacts→French-language works237,207→