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Record W2590209602 · doi:10.3138/cjccj.2016.e24

Aboriginal Incarceration in Canada since 1978: Every Picture Tells the Same Story

2017· article· en· W2590209602 on OpenAlexaffvenueabout
Julian V. Roberts, Andrew A. Reid

Bibliographic record

VenueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsSimon Fraser UniversityDouglas College
Fundersnot available
KeywordsAppealSupreme courtQuarter (Canadian coin)Remedial educationPolitical sciencePrisonCriminologyLawRemand (court procedure)Psychological interventionSociologyPsychologyGeographyPsychiatry

Abstract

fetched live from OpenAlex

Sentencing in Canada is beset by many problems, yet one weakness stands above the rest: the disproportionately high rates of Aboriginal incarceration. This article documents current and historical trends in levels of Aboriginal incarceration at the provincial/territorial and federal levels since 1978. We pay particular attention to the years following two important Supreme Court judgements (in 1999 and 2012) that directed the courts to use custody with greater restraint when sentencing an Aboriginal offender. The primary data derive from the annual Adult Correctional Services survey conducted by Statistics Canada. In 2014, Aboriginal persons accounted for just over one quarter of all provincial and territorial admissions, significantly higher than the percentage recorded in 1978 (16%). In fact, over the past 20 years, all jurisdictions save one have experienced an increase in the percentage of Aboriginal admissions to provincial and territorial correctional institutions. Despite judgements from the Supreme Court and provincial courts of appeal, as well as several other remedial interventions, such as the creation of so-called Gladue courts and an alternate form of custody that would be served in the community, the problem of Aboriginal over-incarceration has worsened, not improved.

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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.332
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.002
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 head0.057
GPT teacher head0.319
Teacher spread0.262 · 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

Citations75
Published2017
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénaleSame topicCriminal Justice and Corrections AnalysisFrench-language works237,207