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Record W7033425217

Quelle politique pour répondre aux discriminations à l'université ?

2024· article· fr· W7033425217 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDigital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) · 2024
Typearticle
Languagefr
FieldComputer Science
TopicAdvanced Clustering Algorithms Research
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Social powerLimiting
DOInot available

Abstract

fetched live from OpenAlex

La formule “équité diversité inclusion” (EDI) semble s’imposer comme nouvelle norme institutionnelle, venue à la fois d’Amérique du Nord et du monde de l’entreprise, en réponse à la demande sociale d’en finir avec les inégalités et la discrimination. Les universités, et en particulier l’UCLouvain, l’adoptent (après bien d’autres au Canada, en France, etc.). Certes, la formulation bienveillante et positive de l’EDI – pour la diversité et l’inclusion plutôt que contre la discrimination – vise à rassembler sans effrayer. Mais elle peut aussi faire écran à la nature des problèmes, ancrés dans des rapports de domination et d’oppression inscrits dans les structures et l’histoire des institutions universitaires, et plus largement de nos sociétés.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science
Consensus categoriesMeta-epidemiology (narrow), Open science
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.849
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0040.003
Scholarly communication0.0060.007
Open science0.0070.013
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.249
Teacher spread0.230 · 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