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Record W2808747310

Settler governance and privacy: Canada’s Indian residential school settlement agreement and the mediation of state-based violence

2018· article· en· W2808747310 on OpenAlexaboutno aff
Lara Fullenwieder, Ádám Molnár

Bibliographic record

VenueDeakin Research Online (Deakin University) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsRedressContext (archaeology)Corporate governanceIndigenousSettlement (finance)Political scienceState (computer science)CriminologyLawSociologyMediationDomestic violenceSexual violencePublic administrationPoison controlSuicide preventionGeographyBusiness
DOInot available

Abstract

fetched live from OpenAlex

\n\t\t\t\t\tIn 2007, the Indian Residential School Settlement Agreement (IRSSA) was developed to redress the violent and assimilative history of residential schools in Canada. The records collected through the IRSSA represent the most comprehensive documentation of violence against Indigenous populations in Canada: data that range from personal testimonials and records, medical histories, and institutional documents to tested legal statements regarding physical and sexual abuse and its effects. The implementation of the IRSSA has been punctuated by legal conflicts that mobilize discourses and laws centering on liberal-conceived rights concerning access to information and privacy. In this article, we examine how liberal discourses of privacy knowledge and uses of privacy law inform histories and futures of Indigenous and settler memory in the context of state-based violence. The article reveals how liberal notions of privacy, when mobilized alongside federally mandated policies of reconciliation, may reproduce the structural violence of settler colonial governance in liberal democracies.\n\t\t\t\t

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.924
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
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 head0.021
GPT teacher head0.316
Teacher spread0.295 · 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 designNot applicable
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

Citations6
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueDeakin Research Online (Deakin University)Same topicIndigenous Health, Education, and RightsFrench-language works237,207