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Record W6949483804 · doi:10.5281/zenodo.15047325

Naviguez dans l'océan des REL : astuces et stratégies de recherche

2025· article· fr· W6949483804 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOpen MIND · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicEducational Tools and Methods
Canadian institutionsUniversité LavalUniversité du Québec à MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsPromotion (chess)Social mobilizationScholarly communication

Abstract

fetched live from OpenAlex

Naviguez dans l'océan des REL : astuces et stratégies de recherche ! Cette présentation, réalisée en partenariat avec la fabriqueREL, Nantes Université et l’Université catholique de Louvain, s’inscrit dans le cadre du Mois de l’éducation ouverte. Ces trois institutions sont engagées dans le développement et la promotion des ressources éducatives libres afin de favoriser un accès ouvert au savoir. L’éducation ouverte repose sur l’accès libre au savoir grâce aux ressources éducatives libres (REL), qui incluent des manuels, cours et exercices. Ces ressources sont disponibles sur des plateformes de dépôt ou de diffusion. Cette présentation propose un tour d’horizon de ces outils tout en offrant des conseils pratiques pour les utiliser efficacement. Pour citer : Bozio, E., Depoterre, S., Escobar, M., Roy, M. et Villeneuve, N. (2025, mars). Naviguez dans l’univers des REL : astuces et stratégie de recherche ! [présentation]. fabriqueREL, sous licence CC BY 4.0

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.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.877
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.552
GPT teacher head0.596
Teacher spread0.044 · 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