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Record W1981791240 · doi:10.1177/0004865814531152

The prison adjustment of Aboriginal offenders

2014· article· en· W1981791240 on OpenAlexaffabout
Rick Ruddell, Shannon Gottschall

Bibliographic record

VenueAustralian & New Zealand Journal of Criminology · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsCarleton UniversityUniversity of Regina
Fundersnot available
KeywordsMisconductPrisonEthnic groupCriminologyPsychologyMinor (academic)PsychiatryMedicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

This study examined the misconduct of all 18,075 Aboriginal and non-Aboriginal offenders admitted to Canadian federal prisons between 2006 and 2009. We found that Aboriginal prisoners had a higher involvement in incidents of major and minor misconduct than their non-Aboriginal counterparts. Consistent with prior prison research, younger prisoners, males, and those with higher levels of risk and dynamic needs had higher involvement in misconduct as perpetrators. By contrast, prisoners who had participated in violence reduction or substance abuse programs were involved in fewer incidents. Both gang involvement and victimization were also robust predictors of prison misconduct. These findings can guide the development of programmatic responses to help offenders develop better skills to adjust to their incarceration and successfully reintegrate in the community following release from prison. Consistent with the Statistics Canada (2013) definition, Aboriginal refers to persons who are Status Indians, Métis peoples (people of mixed Indian and other ethnicities) and Inuit peoples (persons from the far North).

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score0.993

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 studies0.0000.000
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 head0.049
GPT teacher head0.346
Teacher spread0.296 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations6
Published2014
Admission routes2
Has abstractyes

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