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Record W3169584303 · doi:10.82308/32306

Beyond racism: mapping ruling relations in a Canadian university from the standpoint of racialized female student activists

2011· article· en· W3169584303 on OpenAlexaboutno aff
Mahtab Nazemi

Bibliographic record

VenueeScholarship@McGill (McGill) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicAcademic Freedom and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsRacismGender studiesSociologyAnti-racismRace (biology)Political science

Abstract

fetched live from OpenAlex

Cette étude est une ethnographie institutionnelle qui emploie une cadre théorique féministe-critique afin d'expliquer les relations sociales qui coordonnent les expériences des étudiantes-organisatrice racialisées à l'Université McGill. Les entrevues avec les étudiantes, administrateurs, professeurs et employés, avec des observations sur les textes, la langue institutionelle et des expériences autour de l'équité à l'Université McGill constituent les données pour effectuer cette analyse anti-raciste féministe. Dans la première partie de cette étude, les connaissances produites par les expériences des étudiantes-organisatrice racialisées – qui constituent le point d'entrée de cette étude – expose une disjonction entre la façon dont l'Université se portrait comme équitable et diversifiée et comment elle est vécue par certains étudiantes racialisées. La prochaine partie de cette étude examine certains des défis au travail d'organisation anti-raciste à l'Université McGill et le manque (et le besoin) d'une mémoire institutionnelle qui encourage l'organisation actuelle et future de documenter, de consulter, et de s'appuyer sur les initiatives passées (réussie et autrement) autour de la race, le racisme et l'équité.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.744
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.265
Teacher spread0.225 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations1
Published2011
Admission routes1
Has abstractyes

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