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Record W2035669353 · doi:10.7202/038638ar

Revues.org : l’invention de l’édition électronique scientifique, entre libre accès et modèle économique pérenne

2009· article· fr· W2035669353 on OpenAlexvenueno aff
Delphine Cavallo

Bibliographic record

VenueMémoires du livre · 2009
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Libre accès à la littérature scientifique, appropriation par la communauté des chercheurs et des revues, logique de diffusion et de référencement web : les principes fondateurs de Revues.org, portail de revues de sciences humaines et sociales créé en 1999 en marge des institutions d’enseignement supérieur et de recherche françaises, sont aussi ce qui le distingue dans le paysage de l’édition électronique scientifique. Cet article dresse un historique de cette association devenue laboratoire, en mettant au jour les enjeux qui ont jalonné et continuent d’orienter son parcours : définition de l’édition électronique et de ses métiers, modalités de l’appropriation des plateformes par leurs utilisateurs, développement de nouveaux outils aux services des chercheurs, invention d’un modèle économique pour les revues et pour le portail.

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)0.008
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.998
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0100.011
Science and technology studies0.0040.010
Scholarly communication0.0180.029
Open science0.0020.007
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0490.012

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 head0.142
GPT teacher head0.282
Teacher spread0.140 · 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.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations3
Published2009
Admission routes1
Has abstractyes

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