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Record W4323363452 · doi:10.1093/ia/iiad007

Twenty-first-century feminismos: women's movements in Latin America and the Caribbean

2023· article· en· W4323363452 on OpenAlexaboutno aff
Lea Happ

Bibliographic record

VenueInternational Affairs · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansQueen (butterfly)Political scienceHistoryEconomic historyLaw

Abstract

fetched live from OpenAlex

Simone Bohn and Charmain Levy's Twenty-first-century feminismos offers a thorough exploration of recent women's and feminist movements in eight countries across Latin America and the Caribbean. Divided into ten chapters, the volume traces the local, national and transnational histories, as well as the socio-political dynamics of feminist mobilizing. Its varied, in-depth case-studies provide an overview of the contemporary movements in light of the historical developments of the late twentieth and early twenty-first centuries. This interdisciplinary book makes important contributions to various fields, including gender studies, Latin American studies and political science. Despite its breadth and diversity, there are recurring themes that emerge throughout the chapters. These fall into three broad categories: struggles for autonomy (be it reproductive, Indigenous or anti-imperialist); alliances and tensions between institutional and autonomous approaches to social change; and the production of knowledge grounded in the lived experiences of the movements. This last point is further reflected in the composition of the volume, as more than half of the chapters are translated from French, Spanish or Portuguese. Hence, the contributors provide insights into new sites of analysis and theorizing within anglophone literature.

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)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.057
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.007
Science and technology studies0.0050.006
Scholarly communication0.0100.005
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0340.002

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 head0.018
GPT teacher head0.294
Teacher spread0.277 · 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

Citations11
Published2023
Admission routes1
Has abstractyes

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