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Record W4308775273 · doi:10.1007/s10488-022-01223-0

Participation of Children and Youth in Mental Health Policymaking: A Scoping Review [Part I]

2022· review· en· W4308775273 on OpenAlexaff
Sakiko Yamaguchi, Naïma Bentayeb, Alexandra Holtom, Paula Molnar, Teodora Constantinescu, E. Kay M. Tisdall, Josie Tuong, Srividya N. Iyer, Mónica Ruiz‐Casares

Bibliographic record

VenueAdministration and Policy in Mental Health and Mental Health Services Research · 2022
Typereview
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsDouglas Mental Health University InstituteÉcole Nationale d'Administration PubliqueMcGill UniversityCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalMcGill University Health Centre
FundersEconomic and Social Research CouncilMental Health CommissionNational Mental Health CommissionFord Foundation
KeywordsPsycINFOMental healthGrey literatureInclusion (mineral)ScopusYouth participationPsychologyMEDLINEDiversity (politics)Political sciencePublic relationsSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.014
metaresearch head score (Gemma)0.034
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: Review · Consensus signal: Review
Teacher disagreement score0.035
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.034
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0070.010
Science and technology studies0.0010.002
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.229
GPT teacher head0.589
Teacher spread0.359 · 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
GenreReview

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

Citations15
Published2022
Admission routes1
Has abstractno

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