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Record W2345260285 · doi:10.3138/cjccj.2014.e33

What Do Meaningful Consequences and Fair and Proportionate Accountability Mean to Youth Offered Extrajudicial Sanctions in Ontario?

2016· article· en· W2345260285 on OpenAlexaffvenueabout
Carolyn Hyde, Voula Marinos, Nathan Innocente

Bibliographic record

VenueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsUniversity of TorontoBrock UniversityCentennial College
Fundersnot available
KeywordsSanctionsAccountabilityEconomic JusticePerspective (graphical)Political scienceExploratory researchPerceptionCriminologyCriminal justicePublic relationsProcess (computing)PsychologySociologySocial psychologyLawSocial science

Abstract

fetched live from OpenAlex

Extrajudicial sanctions (EJS) under the YCJA are meant to make youth accountable in a fair and proportionate way and to be a meaningful consequence, yet little is known about whether these goals are being accomplished from the perspective of youth. This exploratory study was aimed at examining the perceptions of young persons who have accepted an EJS in a single courthouse in Ontario. Interviews were conducted with youth (N = 20) who provided critical insight into their views about valuable programs, such as counselling, and less valuable aspects, such as writing an essay about the impact of having a criminal record. Some youth revealed that the process of coming to court to be offered an EJS and accept it was more meaningful and made them more accountable than the requirements of the program itself. This research underscores the importance of considering the perspective of young people if the youth justice system is to accomplish its key goals. Such an approach may not only lead to responses that have a greater impact on their behaviour, but it may also, in turn, shift them to be more active and engaged participants in taking responsibility for their actions and the process of justice.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.004
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.136
GPT teacher head0.320
Teacher spread0.184 · 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
Published2016
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénaleSame topicJudicial and Constitutional StudiesFrench-language works237,207