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Record W4294243772 · doi:10.23889/ijpds.v7i3.1832

Quantifying intersecting structural racism in the youth criminal justice system: a whole-population linked administrative data study from Manitoba.

2022· article· en· W4294243772 on OpenAlexaffabout
Marni Brownell, Stephanie Sinclair, Nathan Nickel, Lorna Turnbull, Rick Linden, Rosemary Ricciardelli, Wendy Au, Jennifer Enns, Mariette Chartier, Marcelo L. Urquía, Alyson Mahar, Elizabeth Wall‐Wieler, Dan Château, Matthew D. Sanscartier, Hygiea Casiano, Farzana Quddus, Drew Lambert, Ivy Ferland

Bibliographic record

VenueInternational Journal for Population Data Science · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsMemorial University of NewfoundlandFirst Nations Health and Social Secretariat of ManitobaUniversity of Manitoba
Fundersnot available
KeywordsCriminal justicePopulationResidenceDemographyEconomic JusticeCriminologyRacismGeographyPolitical scienceSociologyLaw

Abstract

fetched live from OpenAlex

ObjectivesOver three decades ago, the Aboriginal Justice Inquiry identified structural racism in Canada’s justice system. Although rates of youth criminal charges and incarcerations have declined substantially since then, it is unclear whether First Nations youth are treated differently than non-First Nations youth for similar offences. Our study addressed this question. ApproachThis retrospective cohort study of youth born 1991-2001 and living in Manitoba between ages 12-17 used whole-population linked administrative data to identify youth charged with a crime (N=13,543). First Nations youth (n=7,081) were compared with all other Manitoba (AOM) youth (n=6,462) on whether their criminal charge proceeded or was dropped, deferred or diverted. The study applied an intersectionality theoretical framework. Individual (age, type and severity of charge, ever in child protection care, youth and/or mother diagnosed mental disorder, maternal incarceration, number of siblings, urban/rural residence) and social strata (First Nations identity, income, sex) factors were adjusted for using multi-level models. ResultsAfter accounting for other factors, First Nations youth had a higher risk of a charge proceeding than AOM (adjusted Relative Risk (aRR) 1.16, 95% CI 1.12-1.20). There was no difference in charges proceeding for male First Nations youth compared with male AOM, whereas among females, the risk was greater for First Nations (aRR 1.31, 95% CI 1.26-1.36). Low income and a history of being in the care of the child protection system increased the risk of charges proceeding for AOM only (aRR 1.16, 95% CI 1.13-1.18; aRR 1.13, 95% CI 1.07-1.20); for First Nations, there was no increased risk of charges proceeding associated with these intersecting factors. ConclusionThese findings provide quantitative evidence of the intersecting structural racism in the youth criminal justice system previously identified by First Nations leaders. Future research will follow this cohort to determine whether more judicial sanctions are applied to First Nations youth throughout the justice process, including within criminal courts and corrections.

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)0.009
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0130.000
Scholarly communication0.0010.004
Open science0.0050.000
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 head0.308
GPT teacher head0.482
Teacher spread0.174 · 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 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

Citations2
Published2022
Admission routes2
Has abstractyes

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