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Record W2023191491 · doi:10.1177/016059760903300103

Stolen Sisters, Second Class Citizens, Poor Health: The Legacy of Colonization in Canada

2009· article· en· W2023191491 on OpenAlexaffabout
Wendee Kubik, Carrie Bourassa, Mary Hampton

Bibliographic record

VenueHumanity & Society · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsFirst Nations University of CanadaUniversity of Regina
Fundersnot available
KeywordsPovertyAmnestyColonialismCriminologyGender studiesSexual violenceSociologyPolitical scienceLawHuman rights

Abstract

fetched live from OpenAlex

This paper examines the multiple oppressions faced by Aboriginal women as a result of Canada's sexist and racist colonial past. We explore the destructive affects of colonization on gender relations and societal structures and argue that Aboriginal women suffer higher rates of poverty, ill-health, violence and sexual exploitation than non-Aboriginal women as a result. The Sisters in Spirit Campaign (2004) and Amnesty International's “Stolen Sisters” report (2004) illustrate how violence is a result of the social and economic marginalization of Aboriginal women. Short term solutions focus on serious jail sentences and fines on those who procure, exploit and prepetrate crimes on girls and women while long term solutions must address the elimination of poverty among Aborignal women while simultaneously revaluing Aborignal women and their culture. Unless these underlying causes of poor health for Aboriginal women are addressed there is little chance of improvement.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.393

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0230.007
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0010.003
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 head0.021
GPT teacher head0.281
Teacher spread0.260 · 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

Citations55
Published2009
Admission routes2
Has abstractyes

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