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Record W4414638366 · doi:10.1007/978-3-031-95816-8_10

Feminist Transnational Activism Around Gender-Based Violence and Labor in North America: Limits and Opportunities

2025· book-chapter· en· W4414638366 on OpenAlexaff
Marianne H. Marchand

Bibliographic record

VenueInternational political economy series · 2025
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsCarleton University
Fundersnot available
KeywordsHuman rightsGlobal SouthDomestic violenceEconomic JusticeRaising (metalworking)FeminismSocioeconomic status

Abstract

fetched live from OpenAlex

This chapter focuses on the challenges and possibilities for feminist transnational activism in North America since the mid-1990s. There appear to be two trajectories for such activism. The first trajectory is related to socioeconomic justice issues and has been dominated by bilateral transborder organizing (following the hub-and-spoke model), focusing in particular on the poor conditions in the maquiladora sector. In contrast, feminist transnational activism around gender-based violence (GBV) and femicides followed a second trajectory, as the NAFTA agreement did not provide openings for raising these issues, and the three governments initially addressed GBV/femicide issues as domestic concerns and did not place them on a regional policy agenda. They used the Inter-American Human Rights regime and the United Nations to pursue their transnational activism. Recent events suggest, however, that these GBV/femicide issues are now being “de-domesticated” and can be addressed in a regional context.

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)0.000
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: none
Teacher disagreement score0.980
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.044
GPT teacher head0.288
Teacher spread0.244 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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