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Record W4409103235 · doi:10.1163/22131035-14010001

Cultural Practices and cedaw: Epistemic Violence and the Marginalisation of Local Knowledge in International Human Rights Law

2025· article· en· W4409103235 on OpenAlexaff
Julie Ada Tchoukou

Bibliographic record

VenueInternational Human Rights Law Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHuman rightsPolitical scienceLawSociologyLaw and economics

Abstract

fetched live from OpenAlex

Abstract This article explores the realisation of rights for marginalised and disadvantaged women and girls in the Global South, with a particular focus on how the concept of “culture” is framed within international human rights discourse on violence against women ( vaw ). The article focuses on the work of the committee that monitors the major women’s convention, the Convention on the Elimination of all Forms of Discrimination against Women ( cedaw ). cedaw ’s discourse predominantly presents “culture” in negative terms – as a barrier to gender equality that States must work to eliminate. This perspective creates a rigid opposition between “culture” and “rights”, implying an inherent conflict between the two. As a result, those associated with certain cultural identities are further marginalised, reinforcing their status as the “other”. There is a systemic repression of the knowledge of other cultures and the positing of cultural Europeanisation as the only valid framework for addressing vaw . As a key site for the construction of knowledge, communities, and identities, cedaw ’s interpretive framework for addressing vaw needs to be reassessed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.684
Threshold uncertainty score0.985

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 communication0.0000.001
Open science0.0010.000
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 head0.396
Teacher spread0.359 · 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 designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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