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Record W2127148149 · doi:10.1093/sp/jxl007

Constructing Scale/Contesting Scale: Women's Movement and Rescaling Politics in Quebec

2006· article· en· W2127148149 on OpenAlexaffabout
Denis Masson

Bibliographic record

VenueSocial Politics International Studies in Gender State & Society · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsDominican University College
Fundersnot available
KeywordsPoliticsRestructuringCollective actionGender studiesSocial movementScale (ratio)Political scienceState (computer science)Scalar (mathematics)Political economySociologyGovernment (linguistics)GeographyLawCartography

Abstract

fetched live from OpenAlex

Scalar shifts in public capacities and responsibilities are an important element of the way states have been restructuring in North America and in Europe. Women’s movements respond to these changes in various ways, including the rescaling of collective action. This article focuses on the rising importance of the (subprovincial) region in Québec women’s movement politics to understand how new scales of action are constituted or granted a renewed importance by women’s movements. Drawing on theoretical contributions from the human geography literature on scale, state rescaling, and scalar politics, I show how the region has been materially and discursively constructed by Québec women’s movement actors as a legitimate and relevant scale for feminist politics. This has involved an intricate and dynamic relationship with two different state projects of downward rescaling. Although it provided some real opportunities, it has also created difficulties and dilemmas for women’s movement actors, who have also contested the primacy of the region in Québec government’s new scalar arrangements.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.037
GPT teacher head0.317
Teacher spread0.280 · 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 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

Citations28
Published2006
Admission routes2
Has abstractyes

Explore more

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