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Record W2907377689 · doi:10.29173/cjs29397

Strategic Incapacitation of Indigenous Dissent: Crowd Theories, Risk Management, and Settler Colonial Policing

2018· article· en· W2907377689 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Canadian Journal of Sociology · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsCarleton UniversityQueen's University
Fundersnot available
KeywordsDissentIndigenousOperationalizationSociologyImpartialityScholarshipCriminal justiceCriminologyObjectivity (philosophy)ColonialismRationalityLawPublic relationsPolitical sciencePoliticsEpistemology

Abstract

fetched live from OpenAlex

Engaging scholarship from sociologies of security to protest policing, this article explores how risk management and actuarial tools have been operationalized in Canadian policing of Indigenous protests. We detail RCMP actuarial tools used to assess individual and group risk by tracing how these techniques are representative of much older trends in the criminal justice system surrounding the management of risk, but also have been advanced by contemporary databanking and surveillance capacities. Contesting public claims of police impartiality and objectivity, we highlight how the construction of riskiness produces an antagonism towards “successful” Indigenous protests. Though the RCMP regularly claim to “protect and facilitate the right to lawful advocacy, protest and dissent,” we show how these practices of strategic incapacitation exhibit highly antagonistic forms of policing that are grounded in a rationality that seeks to demobilize and delegitimize Indigenous social movements.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.040
GPT teacher head0.342
Teacher spread0.302 · 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