MétaCan
Menu
Back to cohort

Social and psychological aspects of criminal juvenile justice in the world practice (Anglo-Saxon model of juvenile justice)

2013· article· en· W30083008 on OpenAlexaboutno aff
D.S. Oshevsky, E.G. Dozortseva, В.Д. Бадмаева, Ирина Анатольевна Чибисова

Bibliographic record

VenueOnline · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsJuvenileCriminologyJuvenile delinquencyEconomic JusticeAnglo saxonCriminal justicePsychologyTheory of criminal justiceSociologyPolitical scienceLawHistoryBiology

Abstract

fetched live from OpenAlex

The article is the final part of the review of existing foreign models of juvenile criminal justice system. We analyze the principles of juvenile justice in the criminal trial: protective orientation, personalization and social richness of the trial, the emphasis on educational influences. We present the foreign experience of incorporating social, psychological and clinical special knowledge into specialized justice concerning juvenile offenders. We analyze modern trends in the development of juvenile justice in the United States and Canada. We present material related to methods of risk assessment of re-offending among adolescents. We highlight approaches to complex long-term follow-up of juvenile offenders in Anglo-Saxon juvenile justice. We describe some aspects of the probation service using the method of case management. In the context of the accepted “National Strategy for Action for the Benefit of Children for 2012-2017”, the prospects for the development of specialized criminal justice for young offenders in the Russian Federation are discussed

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.009
Scholarly communication0.0050.001
Open science0.0000.002
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 head0.171
GPT teacher head0.450
Teacher spread0.279 · 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 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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueOnlineSame topicCrime Patterns and InterventionsFrench-language works237,207