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Record W2757621332 · doi:10.1177/0886109917730042

Radical Visions, Structural Constraints

2017· article· en· W2757621332 on OpenAlexaboutno aff
Lisa M. Boucher

Bibliographic record

VenueAffilia · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsNeoliberalism (international relations)VisionPoliticsState (computer science)NegotiationSociologyClimate justicePublic administrationSocial movementPublic relationsPolitical scienceSocial workPolitical economyLawSocial scienceClimate change

Abstract

fetched live from OpenAlex

Based on a qualitative study of two feminist organizations located in Ontario, Canada, this article considers the tensions that state-funded organizations must negotiate in their efforts to engage in anti-oppressive (AO) practice. The rise of neoliberalism and neoconservatism in Canada has produced a political climate that threatens feminist organizations’ social justice mandates. This climate undermines feminist organizations’ efforts to advocate for their communities, to create inclusive organizations, and to provide compassionate service informed by AO principles. However, to argue that feminist service organizations are depoliticized through their relationship with state funding agencies simplifies the complexity of state-social movement relations. This article illustrates the contradictory influence state funding has on AO practice in feminist organizations and examines the ways organizations navigate challenges presented by their political climate. Despite the structural constraints facing AO practice in feminist organizations, I argue that AO frameworks can provide organizations with a renewed focus on their social justice mandates.

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)0.012
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.315
Threshold uncertainty score0.626

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0270.067
Scholarly communication0.0140.007
Open science0.0020.010
Research integrity0.0020.004
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 head0.045
GPT teacher head0.392
Teacher spread0.347 · 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 designNot applicable
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

Citations20
Published2017
Admission routes1
Has abstractyes

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