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Record W2120979216 · doi:10.18357/ijih41200812314

The Intersecting Risks of Violence and HIV for Rural Aboriginal Women in a Neo-Colonial Canadian Context

2013· article· en· W2120979216 on OpenAlexaffvenueabout
Colleen Varcoe, Sheila Dick

Bibliographic record

VenueInternational Journal of Indigenous Health · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsColonialismPovertyContext (archaeology)Structural violenceGovernment (linguistics)Economic growthRacismDisconnectionSociologyGender studiesPolitical scienceScapegoatingCriminologySocioeconomicsPoliticsGeographyLawEconomics

Abstract

fetched live from OpenAlex

An ethnographic study looking at the intersecting risks of violence and human immunodeficiency virus (HIV) for rural women shows that the neo-colonial and racist context of Canadian society creates particular challenges for Aboriginal women. This article focuses on the experiences of the Aboriginal women who took part in the study. These women’s experiences of violence occurred within a rural context of poverty and declining economic resources, and within a historical context of colonial abuses and cultural disruptions. Consequently, the women’s lives were often characterized by disconnection from family and community, making them vulnerable to further violence and exploitation. Social support programs in this rural setting were limited and access was sometimes problematic. Understanding how the intersecting dynamics of gender, rural living, poverty, racism, and colonialism create risk for Aboriginal women provides a basis for developing policies that aim to strengthen the well-being of women, particularly their economic well being. It also highlights the need for an anti-racist agenda within the social service and health care sectors and at all levels of government.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.016
GPT teacher head0.362
Teacher spread0.346 · 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.

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

Citations44
Published2013
Admission routes3
Has abstractyes

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