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Record W7028627847

Governing Disappearance: Re-figuring Canadian Responses to Violence Against Indigenous Women and Girls

2022· other· en· W7028627847 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2022
Typeother
Languageen
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousAgency (philosophy)Government (linguistics)Fourth WorldHarmNarrativeGovernmentalityPublic policy
DOInot available

Abstract

fetched live from OpenAlex

This dissertation considers the history of Canadian policy responses to violence against Indigenous women and girls. I think through how these policy responses constitute processes that figure Indigenous women as objects of policy cut off from social relations and histories. In turn, these measures erase Indigenous agency and augment structures that sustain the disappearance of Indigenous women and girls. In this way, I expose how knowledge production is implicated within processes of disappearance and how relations of elimination are reproduced within policy responses to violence. I argue that settler-expert discourses subtly reassert state power through narratives of care by figuring Indigenous women and girls as damaged.\nI build upon Eve Tucks (2009) writing on deficit models of advocacy and Michel Foucault (1978) and Wendy Browns (1995) analysis of knowledge production to interrogate the assumptions emerging from expert discourses and truth-telling commissions. My work also draws on critical insights from 15 key informant interviews to consider specific policies within four areas: social planning, harm reduction, human rights, and policing. With these theoretical and methodological insights, I undertake a discourse analysis to consider the figuration of Indigenous women across 17 government and nongovernmental reports from the 1960s to the early 2000s.\nI examine the creation of policy figures as a technique of governing. Through this work, I consider how expert discourses produce new policy figures and generated new techniques of regulation and surveillance that targeted Indigenous women and expanded outward to target Canadian society. My work finds that the downloading and privatization of public and social responsibility to the community and the individual persisted across the postwar period and were enduring facets of disappearance. Expert discourses of care were central in depoliticizing the assertions of Indigenous peoples and their allies while normalizing state power.

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)0.008
metaresearch head score (Gemma)0.011
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score0.972

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0620.041
Scholarly communication0.0110.004
Open science0.0030.008
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.000

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 head0.028
GPT teacher head0.181
Teacher spread0.152 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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