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Record W2104293404 · doi:10.18740/s49g6r

Pacification and Indigenous Struggles in Canada

2013· article· en· W2104293404 on OpenAlexaffvenueabout
Tia Dafnos

Bibliographic record

VenueSocialist studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsYork University
Fundersnot available
KeywordsIndigenousFraming (construction)Resistance (ecology)ColonialismPolitical sciencePublic administrationLegalism (Western philosophy)State securitySociologyState (computer science)PoliticsLawEngineering

Abstract

fetched live from OpenAlex

Front-line police operations are deeply entwined with less visible activities – or practices not commonly identified as policing – that are carried out by a wide range of participants as strategies of settler-colonial pacification operating through the organizing logics of security and liberal legalism. Using open source texts and records obtained through access to information requests, this article unmaps some of the contemporary strategies employed by Canadian institutions to pacify Indigenous resistance. As a contribution to the body of work seeking to develop the politics of anti-security, the analysis disrupts the binary categories that animate security logic by examining the public order policing approach of the Ontario Provincial Police, the framing of Indigenous resistance as a security threat, and the integral role of Indian Affairs in securing the settler-state.

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)0.003
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 score0.173
Threshold uncertainty score0.959

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0380.014
Scholarly communication0.0060.001
Open science0.0020.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.026
GPT teacher head0.312
Teacher spread0.287 · 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

Citations24
Published2013
Admission routes3
Has abstractyes

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