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Record W2787958489 · doi:10.22329/wyaj.v34i2.5025

PRIORITIZING CHILDREN’S BEST INTERESTS IN CANADIAN YOUTH JUSTICE: ARTICLE 3 OF THE UN CONVENTION ON THE RIGHTS OF THE CHILD AND CHILD-FRIENDLY ALTERNATIVES

2018· article· en· W2787958489 on OpenAlexaffvenueabout
Étienne F Lacombe

Bibliographic record

VenueWindsor Yearbook of Access to Justice · 2018
Typearticle
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsMcGill University
Fundersnot available
KeywordsBest interestsPunitive damagesEconomic JusticeMirroringPolitical scienceLawContext (archaeology)ConventionDeclarationChild protectionSociologyDutyJuvenile delinquencyCriminology

Abstract

fetched live from OpenAlex

The UN Convention on the Rights of the Child confers on children a number of rights, not the least of which is the guarantee that their best interests shall be a primary consideration in all actions that concern them. This article applies the Best Interests of the Child [BIC] principle—a widespread concept in family law—to the context of criminal policy. It calls for a rebalancing of Canadian youth justice so as to prioritize children’s best interests. As marginalized societal actors, children are at risk of seeing their interests increasingly overlooked if they are not brought to the fore. Once a defining feature of Canada’s response to juvenile delinquency, the BIC principle has waned in the face of sweeping penal populism. Examples from Scotland, Scandinavia and Washington reveal means by which child-friendly justice systems can withstand the influence of punitive public sentiment. Mirroring such approaches in Canada would require repurposing the deeply engrained concept of proportionality and viewing children’s interests as inherent to advancing public safety.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.099
Threshold uncertainty score0.719

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0190.014
Scholarly communication0.0090.003
Open science0.0020.004
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0050.000

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 head0.033
GPT teacher head0.342
Teacher spread0.310 · 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 designNot applicable
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
Published2018
Admission routes3
Has abstractyes

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Same venueWindsor Yearbook of Access to JusticeSame topicEthics and Legal Issues in Pediatric HealthcareFrench-language works237,207