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Record W34245968 · doi:10.1093/pch/14.1.15

Problems with access to adolescent mental health care can lead to dealings with the criminal justice system

2009· article· en· W34245968 on OpenAlexaff
Stan Kutcher, Ainslie McDougall

Bibliographic record

VenuePaediatrics & Child Health · 2009
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsNova Scotia Health AuthorityIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsMental healthPsychological interventionCriminal justiceIntervention (counseling)PsychiatryEconomic JusticeMedicineIdentification (biology)Variety (cybernetics)Mental health lawPsychologyCriminologyPolitical science

Abstract

fetched live from OpenAlex

Mental disorders collectively constitute the largest burden of disease in young people. They have substantial negative short- and long-term outcomes across many domains, yet early identification and effective intervention can improve outcomes and can often lead to recovery. Unfortunately, many young people do not receive the mental health care they require and may consequently enter the justice system. Studies of incarcerated youths show that up to 70% of them have mental disorders. Many of these youth receive primarily custodial care. A variety of social, legal and medical interventions can and should be implemented to ensure that young people suffering from mental disorders do not inappropriately enter the justice system due to lack of access to health care and other services.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.821
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.309
Teacher spread0.285 · 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 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

Citations50
Published2009
Admission routes1
Has abstractyes

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