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Record W4399788893 · doi:10.1177/00111287241258735

Youth and Young Terror: Canadian Case Law and the Socio-Carceral Dynamics of Youth and Young Offenders Convicted of Terrorism Offences

2024· article· en· W4399788893 on OpenAlexaffabout
James Gacek, Richard Jochelson, Amin Asfari, Lauren Corcoran, Marisa Ranieri

Bibliographic record

VenueCrime & Delinquency · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsUniversity of ManitobaUniversity of Regina
Fundersnot available
KeywordsCriminologyTerrorismJuvenile delinquencyLawPolitical sciencePsychology

Abstract

fetched live from OpenAlex

Focusing on developments within Canadian jurisprudence, the authors explore significant case law and its impact on our understanding of the challenges faced by youth and young offenders convicted of terrorism offences while navigating the legal and correctional systems. We demonstrate how Canadian law has often failed to address the needs and lived experiences of youth and young offenders convicted of terrorism offences while dealing with legal supports and corrections’ resources. To that end, we scrutinize important Canadian case law. Preliminary findings highlight the inadequate interventions measures, both at the state and non-state levels, available to inmates who have committed terrorism-related offences, as well as question whether such interventions have any reintegrative value for youth and young offenders’ personal growth and desistence upon release. Moreover, institutional deficits, such as the absence of correctional programing leave open the opportunity for re-offending and radicalization upon release. If there is a role for law to play in rehabilitation, a thorough exploration of case law as it relates to youth offenders convicted of terrorism offences is required. In addition to examining Canadian jurisprudence and its impact on understanding the challenges faced by youth and young offenders convicted of terrorism offences, it is crucial to underscore the importance of strong and conventional community ties after release. These ties can significantly mitigate further alienation and extremist tendencies. Socio-legal and carceral recommendations 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)0.004
metaresearch head score (Gemma)0.010
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.698

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0300.011
Scholarly communication0.0060.002
Open science0.0020.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.027
GPT teacher head0.290
Teacher spread0.263 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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