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Record W3188670043 · doi:10.1017/lap.2021.24

On the Strategic Uses of Women’s Rights: Backlash, Rights-based Framing, and Anti-Gender Campaigns in Colombia’s 2016 Peace Agreement

2021· article· en· W3188670043 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLatin American Politics and Society · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsBacklashFraming (construction)Opposition (politics)Human rightsNormativePoliticsSociologyGender studiesRhetoricSocial movementPolitical scienceFeminismFeminist movementLaw

Abstract

fetched live from OpenAlex

ABSTRACT This article examines organized opposition to feminist and LGBTI political projects in Colombia. Although there is a large body of literature on feminist movements and a growing literature on LGBTI movements, there is little research on resistance to them. Through an intersectional feminist lens, this study analyzes the “anti-gender” campaign organized against the gender perspective in Colombia’s 2016 peace agreement to demonstrate the limitations of backlash theory and certain normative understandings of human rights. In contrast to assumptions that backlash is predetermined, the study demonstrates that the anti-gender mobilization against the peace agreement was circumstantial rather than inevitable. To highlight the productive nature of backlash, it traces how opponents employed human rights rhetoric to establish an alternative present and promote an imagined future rooted in exclusion and repression. In addition, it shows that mobilized backlash against feminist and LGBTI movements does not necessarily decelerate or reverse the respective movements’ agendas.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.032
GPT teacher head0.291
Teacher spread0.259 · 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