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Record W3006582173

Feminisms at the Heart of Contemporary Anarchism in Quebec

2012· article· en· W3006582173 on OpenAlexaboutno aff
Émilie Breton, Sandra Jeppesen, Anna Kruzynski, Rachel Sarrasin

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsAuthoritarianismAutonomyPolitical radicalismSociologyCitizen journalismGender studiesParticipatory action researchPolitical scienceSocial movementPoliticsMedia studiesLawDemocracyAnthropology
DOInot available

Abstract

fetched live from OpenAlex

Composed of collectives, groups and networks active in various struggles, the antiauthoritarian movement, which was consolidated in Quebec in the wake of the Global justice movement is guided by values that are based on a common ethical compass. The latter is based on a vision of anarchism as a process that prefigures, in the here and now, a society based on collective autonomy. This chapter documents the work of activists involved in three micro-cohorts of the anti-authoritarian movement, and who are the forefront of the development of practices for self-determination and self-organization. These micro-cohorts, composed of radical feminists and (pro) feminists, radical queers, and feminists and (pro)feminists involved in struggles against racism and colonialism, contribute to achieving this goal through a process of pollination that enables the dissemination of practices in different spaces. This analysis is the result of research carried out within the Research Group on Collective Autonomy (CRAC). crac is a (pro) feminist and anti-authoritarian affinity group that has been documenting its own movement using a participatory action research methodology.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.593

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0200.016
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.058
GPT teacher head0.325
Teacher spread0.267 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2012
Admission routes1
Has abstractyes

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