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Record W7110652269

Incarcerated Youths in Canada and the United States: A Comparative Analysis

2025· article· W7110652269 on OpenAlexaboutno aff

Bibliographic record

VenueThe Open Repository - Binghamton (Binghamton University) · 2025
Typearticle
Language
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCommitJuvenileEconomic JusticeGovernment (linguistics)Juvenile delinquencyTreatyState (computer science)
DOInot available

Abstract

fetched live from OpenAlex

Are children who commit adult crimes deserving of adult punishments? According to the United Nations, not if it harms their well-being. The U.N.’s primary treaty on children’s rights states that the Convention on the Rights of the Child (CRC), all state actions, and government institutions involving children must prioritize children’s well-being, safety, health, and protection. Only one U.N. member state, out of 196, has not ratified the CRC: the United States. This is reflected in the U.S.’s juvenile justice system, which has been criticized since the 1980s for harsh sentencing and the incarceration of children in adult facilities. In contrast, Canada’s juvenile justice system emphasizes rehabilitation, restorative justice, and limits severe punishments for offenders. This project will compare juvenile sentencing laws in both countries under the framework of CRC compliance, analyzing the histories of these systems and how their policy differences impact juvenile offenders’ well-being.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.072
Threshold uncertainty score0.522

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.021
Science and technology studies0.0100.002
Scholarly communication0.0040.001
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.266
Teacher spread0.245 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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