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Record W2783933814 · doi:10.7202/1042804ar

Présentation

2017· article· fr· W2783933814 on OpenAlexaffvenue
Baptiste Godrie, Marie Dos Santos

Bibliographic record

VenueSociologie et sociétés · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicFeminist Epistemology and Gender Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Ingalits sociales, production des savoirs et de l'ignorance 1 P rivilge et autorit pistmiques, appropriation des savoirs, injustices pis- tmiques, cognitives ou encore testimoniales, mise sous silence, ignorance produite, pistmicide, pratiques pistmiques de rsistance, savoirs dcoloniaux Voici quelques-uns des concepts mobiliss par les pistmologies fministes et postcoloniales contemporaines pour repenser les liens entre ingalits sociales et production des savoirs. Ces concepts peuvent tre regroups sous le chapeau de la recherche sur les ingalits pistmiques, que l'on peut dfinir provisoirement comme un type particulier d'ingalit qui se manifeste dans l'accs, la reconnaissance et la production des savoirs et des diffrentes formes d'ignorance. Ces ingalits pistmiques sont le produit d'ingalits systmiques et de situations d'oppression qui structurent les rapports sociaux autant qu'elles contribuent les alimenter, mme si les auteur.e.s auxquel.le.s nous nous rfrons conceptualisent diffremment les liens entre la hirarchie des positions sociales des membres des diffrents groupes sociaux et les ingalits pistmiques qu'elles gnrent ou renforcent.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.718
Threshold uncertainty score0.402

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0110.006
Open science0.0020.006
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.7180.464

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 head0.565
GPT teacher head0.594
Teacher spread0.029 · 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
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

Citations106
Published2017
Admission routes2
Has abstractyes

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