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Record W1867867235 · doi:10.18357/tar32201211643

Indigenous Women as the Other: An Analysis of the Missing Women's Commission of Inquiry

2012· article· en· W1867867235 on OpenAlexvenueaboutno aff
Jodi Beniuk

Bibliographic record

VenueThe Arbutus Review · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousCommissionContext (archaeology)Face (sociological concept)Royal CommissionGender studiesSociologyCriminologyPolitical scienceLawHistorySocial science

Abstract

fetched live from OpenAlex

In this paper, I discuss the ways in which Indigenous women are Othered by the proceedings of the Missing Women‘s Commission of Inquiry (MWCI). First, I give a basic overview of Beauvoir‘s theory of women as Others, followed by Memmi‘s analysis of the relationship between the colonized and the colonizer. I use these two theories to describe the way Indigenous women are Othered both as Indigenous peoples and as women, focusing on the context of the twenty-six who were murdered in Vancouver‘s Downtown Eastside (DTES). The original murders were the result of the cultural reduction of Indigenous Women to their bodies. The negligent police investigations, as well as the misogynistic attitudes of the police, also demonstrate how Othering can operate within these institutions. I claim that the violence against women in the DTES was due to their status as Other. Notably, the MWCI, which is supposed to be a process that addresses the Othering-based negligence of the police, also includes instances of Othering in its structure and practice. From this, I conclude that we cannot rely on Othering institutions or legal processes to correct Othering as a practice. In the context of the MWCI, I suggest building alliances that support those who face this Othering as violence in their everyday lives.

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)0.013
metaresearch head score (Gemma)0.016
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 score0.467
Threshold uncertainty score0.940

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.012
Science and technology studies0.0090.017
Scholarly communication0.0080.004
Open science0.0020.004
Research integrity0.0030.002
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 head0.037
GPT teacher head0.320
Teacher spread0.283 · 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

Citations5
Published2012
Admission routes2
Has abstractyes

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