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Record W4328129512 · doi:10.1080/07393148.2023.2184942

Le pouvoir collectif: Entretien avec Nargess Mustapha, cofondatrice de Hoodstock (lauréat du prix Cloward et Piven 2022)

2023· article· fr· W4328129512 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNew Political Science · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsMcGill University
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Abstract Chaque année, le caucus pour la science politique critique de l’Association américaine de science politique accorde le prix Richard Cloward et Frances Fox Piven à un groupe militant dans la région de la réunion annuelle de l’Association américaine de science politique (APSA). En 2022, l’APSA a eu lieu à Montréal, au Québec, au Canada. Cette année, le lauréat du prix est Hoodstock, une organisation ancrée dans les mouvements sociaux, qui vise à éliminer les inégalités systémiques et à construire des communautés solidaires, inclusives, sécuritaires et dynamiques. L’auteure et intervieweuse est diplômée de la maîtrise en sciences politiques de l‘Université McGill, où elle a effectué son mémoire de maîtresse sur le pouvoir collectif et l‘organisation intersectionnelle à Montréal.1 Dans l’article suivant, elle interviewe une cofondatrice de Hoodstock, Nargess Mustapha.

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)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.762
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.010
Science and technology studies0.0030.007
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.020
GPT teacher head0.322
Teacher spread0.303 · 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