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Record W2908170386 · doi:10.13169/statecrime.7.2.0199

Criminology's Time: Settler Colonialism and the Temporality of Harm at the Assiniboia Residential School in Winnipeg, Canada, 1958–1973

2018· article· en· W2908170386 on OpenAlexafffundabout
Andrew Woolford, Wanda Hounslow

Bibliographic record

VenueState Crime Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of Manitoba
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsTemporalityTemporalitiesColonialismCriminologyIndigenousSociologyResidential schoolHarmContext (archaeology)State (computer science)InstitutionPolitical scienceHistoryLawSocial scienceEpistemologySocioeconomics

Abstract

fetched live from OpenAlex

This article examines the delimiting role time plays in criminological research, especially with respect to historical studies related to genocide in a settler-colonial context. In short, we argue that criminological temporalities often exclude forms of collective destruction defined by a more complicated duration or scope. We do this through investigation of Canada's residential school system, with specific attention to a single Indian Residential School (IRS) within this system, the Assiniboia Residential School (ARS) in Winnipeg. Assiniboia was different than other residential schools in Canada because, despite playing a role in Indigenous assimilation, students experienced more freedom and less abuse than was characteristic of other schools. We argue that grappling with an institution such as Assiniboia, as part of an experience of state crime, requires that the notion of crime as a temporal event, or as the outcome of a linear criminogenic process, be challenged and opened to concepts of time that are pulsating, uneven and persistent within a broader settler-colonial mesh.

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)0.004
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: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.356

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0100.009
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.001
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 head0.030
GPT teacher head0.318
Teacher spread0.288 · 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

Citations3
Published2018
Admission routes3
Has abstractyes

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