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Promoting youth mental health: priorities for policy from an Australian perspective

2011· article· en· W1602479359 on OpenAlexaboutno aff
Debra Rickwood

Bibliographic record

VenueEarly Intervention in Psychiatry · 2011
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthMental health literacyOutreachCharterPublic relationsHealth promotionPsychological interventionHealth policyPsychologyPolitical sciencePublic healthMedicineNursingMental illnessPsychiatry

Abstract

fetched live from OpenAlex

AIM: This paper considers the priorities for policy to promote youth mental health in Australia. The Ottawa Charter is applied as a conceptual framework to determine current strengths and future priorities across the entire spectrum of interventions for mental health promotion. METHODS: The five platforms of the Ottawa Charter are used to categorize some of the major initiatives that promote youth mental health. Areas of strength and major gaps within each platform are identified. RESULTS: Australia was shown to be at the forefront of many youth mental health promotion initiatives, particularly in the service reorientation and personal skills platforms of the Ottawa Charter. CONCLUSIONS: While significant progress has been made in some areas of youth mental health promotion, areas of critical need for policy focus were: oversight of all public policies for their impact on youth mental health; more supportive environments for youth and better interconnection with mental health care; community action to support the youth voice; investment in resources for parents and families; ensuring quality inreach and outreach to provide young people with positive mental health messages and improve mental health literacy; and embedding and expanding effective innovations in youth mental health services reorientation.

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)0.022
metaresearch head score (Gemma)0.018
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.139
Threshold uncertainty score0.276

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0070.006
Scholarly communication0.0120.007
Open science0.0020.011
Research integrity0.0090.010
Insufficient payload (model declined to judge)0.0070.001

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 head0.082
GPT teacher head0.429
Teacher spread0.347 · 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
GenreCommentary

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

Citations22
Published2011
Admission routes1
Has abstractyes

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