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Record W4378078300 · doi:10.1080/13552074.2023.2167633

Roadblocks on the<i>ruta de denuncia</i>: negotiating women’s rights and resisting violences in postwar Guatemala’s Northern Transversal Strip

2023· article· en· W4378078300 on OpenAlexfundno aff
Julia Hartviksen

Bibliographic record

VenueGender & Development · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPoliticsPolitical scienceHuman rightsDemocracyGender studiesNegotiationFace (sociological concept)GenocideRight to the citySociologyLawSocial science

Abstract

fetched live from OpenAlex

In 1996, Guatemala’s Peace Accords were signed, concluding 36 years of war and genocide. However, persisting violence, including violences against women (VAW) and criminalisation of human rights defenders protesting inequalities provoked by postwar extractivism, threatens the democracy promised through formal peace. Specifically, women human rights defenders (WHRDs) play key roles in these struggles, which this paper explores. Drawing on ten months of qualitative fieldwork in Maya Q’eqchi’ communities in the Northern Transversal Strip (FTN) region, I ask: what roles do WHRDs play in resolving VAW and in challenging gendered and environmental injustices? Secondly, what political and collective strategies are drawn on by WHRDs; what challenges do they face; and what movements and processes do they engage in, to envision a better future? This paper foregrounds the intersections of municipal political spaces and a constellation of postwar women’s rights legal frameworks, including a 2008 Law on Femicide criminalising all forms of VAW as central to WHRDs’ mobilisations. I explore how locally elected members of consejos de mujeres (women’s councils) and municipal oficinas de la mujer (women’s offices) offer important spaces for WHRDs to organise collectively. I also highlight connections between WHRDs’ struggles against VAW, extractivism, and environmental devastation in the FTN. Simultaneously, I identify several ‘roadblocks’ to WHRDs’ engagement in these spaces and the dangers and criminalisation they face. Ultimately, such ‘roadblocks’ contribute to a vernacularisation of women’s rights in the FTN, which instrumentalises and empowers the language of rights for WHRDs’ struggles.

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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score0.915

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.029
GPT teacher head0.272
Teacher spread0.243 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2023
Admission routes1
Has abstractyes

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