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Record W6912650190 · doi:10.5281/zenodo.7916228

Nouveaux modèles, mêmes problèmes : Comment les modèles commerciaux de libre accès des cinq grands éditeurs perpétuent les inégalités dans la communication savante

2023· article· fr· W6912650190 on OpenAlexaffabout

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languagefr
FieldDecision Sciences
TopicAcademic Publishing and Open Access
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsLimitingResearch methodologyInformation center

Abstract

fetched live from OpenAlex

<em>Presentation at Acfas workshop, 11 May 2023</em> <em>Conférence au colloque Acfas 15 - Perspectives sur la publication et les revues savantes : évolution du libre accès, des pratiques d’évaluation et des nouvelles possibilités de recherche, 11 mai 2023</em> Le modèle auteur-payeur, dans lequel les auteurs doivent payer des frais de traitement des articles pour être publiés, crée des inégalités et des barrières qui excluent de nombreuses personnes du processus de la recherche, particulièrement dans les disciplines et institutions sous-financées. Nous présenterons des données démontrant l'augmentation des articles publiés en libre accès par les cinq grands éditeurs ainsi que des estimations des frais payés au Canada et dans le monde. Nous examinerons également comment l'introduction de nouveaux modèles commerciaux, tels que les accords de transformation, perpétue les inégalités existantes et nous discuterons des moyens de rendre le passage à l'OA équitable et durable.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Insufficient 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0090.002
Scholarly communication0.0090.003
Open science0.0080.007
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.004

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 head0.136
GPT teacher head0.354
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; both teacher heads agree on what is shown here.

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

Citations0
Published2023
Admission routes2
Has abstractyes

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