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Record W2536618507 · doi:10.1111/caje.12205

Are youth offenders responsive to changing sanctions? Evidence from the Canadian <i>Youth Criminal Justice Act</i> of 2003

2016· article· en· W2536618507 on OpenAlexaffvenueabout
Lihui Zhang

Bibliographic record

VenueCanadian Journal of Economics/Revue canadienne d économique · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsSanctionsCriminologyCriminal justiceEconomic JusticePolitical sciencePsychologyLaw

Abstract

fetched live from OpenAlex

Abstract This paper examines youth offenders’ responses to changing sanctions, using evidence from the Canadian Youth Criminal Justice Act (YCJA), which replaced the Young Offenders Act on April 1, 2003. Using police reported and court based official statistics and the difference‐in‐difference strategy, it is found that Canadian youth offenders were less likely to be charged by police and less likely to receive a custodial sentence following the YCJA. These changes were relatively large for less serious crime and small or insignificant for more serious crime. In response to these changes in the certainty of sanctions, less serious youth crime increased while the direction of change for more serious youth crime was less clear. Empirical analysis on youth self‐reported crime corroborates the findings on youth crime reported to police, particularly for boys.

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)0.003
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.001
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 head0.366
GPT teacher head0.272
Teacher spread0.094 · 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 designObservational
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

Citations1
Published2016
Admission routes3
Has abstractyes

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