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Record W2594527933 · doi:10.25071/1718-4657.36752

Sexual Violence against Indigenous Women: Policies, Human Rights and the Myth of Development

2016· article· en· W2594527933 on OpenAlexvenueaboutno aff
Eren Cervantes-Altamirano

Bibliographic record

VenueIntersections conference journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsnot available
Fundersnot available
KeywordsOppressionIntersectionalityIndigenousGender studiesSexual violenceSociologyDomestic violenceContext (archaeology)RacismCriminologyPolitical sciencePoison controlSuicide preventionPoliticsGeographyLawEcologyMedicine

Abstract

fetched live from OpenAlex

This paper addresses issues regarding the definition of sexual violence in the context of Canada’s development discourse in the Third World vis-à-vis the domestic experiences of Indigenous women. Despite the fact that sexual violence is often defined as rape or unwanted sexual contact, the author argues that Indigenous female victims of sexual violence are strongly influenced by other systems of oppression. Systems like the coloniality of power, a term coined by Anibal Quijano, the coloniality of gender, a term best explored in the works of Maria Lugones, capitalism, heteropatriarchy and racism, among others, should be considered when discussing women of colour’s experiences of sexual violence. Hence, the notion of sexual violence purely as rape further marginalizes women of colour, including Indigenous women. Through the notion of intersectionality (Crenshaw 1991), this article aims to produce change towards redefining sexual violence in a way that better reflects the experiences of women of colour, while challenging systemic oppression. KEYWORDS: Sexual violence, Indigenous women, Development, Policy, Intersectionality, Coloniality

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)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.217
Threshold uncertainty score0.432

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.066
Scholarly communication0.0090.003
Open science0.0010.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.293
Teacher spread0.263 · 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 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

Citations2
Published2016
Admission routes2
Has abstractyes

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