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Penal Paradigms of Juvenile Justice in Canada and Hong Kong

2020· reference-entry· en· W3082720029 on OpenAlexaffabout
Michael Adorjan, Wing Hong Chui

Bibliographic record

VenueOxford Research Encyclopedia of Criminology and Criminal Justice · 2020
Typereference-entry
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsJuvenile delinquencyCriminologyCriminal justiceEconomic JusticePolitical scienceSociologyLaw

Abstract

fetched live from OpenAlex

Abstract A penal paradigm is an overarching criminal justice framework, salient within a certain era, that guides how we perceive of crime and criminality (including those who commit crimes) and how appropriate responses align with the internal logic of the wider philosophical framework. Paradigms of response to youth crime and delinquency in Canada and Hong Kong emerged in response to shifting sociopolitical exigencies salient in both contexts, respectively. Three epochs are of particular relevance in Canada: the penal welfare period under the Juvenile Delinquents Act, the due process and crime control framework salient during the Young Offenders Act, and the proportionate justice model central to the current Youth Criminal Justice Act. While both Canada and Hong Kong have drawn on Britain in crafting their youth justice systems, Hong Kong’s colonial period is of relevance, particularly the 1960s and 1970s, during which time unique cultural factors influenced Hong Kong’s framework of welfare protectionism and disciplinary welfare in response to youth delinquency and crime. Contemporary trends in juvenile justice and recent political unrest and potential implications for youth in Hong Kong refer back to this historical period, and comparing Canadian and Hong Kong penal paradigms of juvenile justice promotes a criminological imagination with the relation of state and citizen as central to understanding the significance of responses to youth deviance and criminality.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.834
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.090
GPT teacher head0.360
Teacher spread0.270 · 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 designOther design
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
Published2020
Admission routes2
Has abstractyes

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