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Record W4232975725 · doi:10.5172/jamh.2013.4372

Developing the Perth Charter for the Promotion of Mental Health and Wellbeing

2013· article· en· W4232975725 on OpenAlexaboutno aff
Julia Anwar McHenry, Robert J. Donovan

Bibliographic record

VenueAdvances in Mental Health · 2013
Typearticle
Languageen
FieldDecision Sciences
Topicdemographic modeling and climate adaptation
Canadian institutionsnot available
Fundersnot available
KeywordsCharterMental healthPromotion (chess)PsychologyHealth promotionPolitical sciencePublic relationsMedicinePsychiatryPublic healthNursingLaw

Abstract

fetched live from OpenAlex

While the Ottawa Charter for Health Promotion promotes a holistic approach to health promotion, health promotion in practice has largely been confined to physical health promotion. Hence the organising committee for the Seventh World Conference on the Promotion of Mental Health and Prevention of Mental and Behavioural Disorders (held 17–19 October 2012 in Perth, WA) decided to develop a ‘Perth Charter for Mental Health Promotion and Wellbeing,’ which has just been published in the International Journal of Mental Health Promotion. It was hoped that the Perth Charter for Mental Health Promotion would be helpful as a first step towards eventual integration of physical and mental health promotion. The Charter was designed to be succinct and actionable, and was developed in three phases through an iterative feedback process with input from health professionals around the globe. The Perth Charter is intended to be a useful resource for mental health professionals in advocating for greater resource allocation and policy support for mental health, and mental health promotion in particular at a local level. It was envisaged that the Perth Charter would do for mental health promotion what the Ottawa Charter did for health promotion generally, and physical health promotion in particular. An abridged version of the Perth Charter is provided within this review, while the full version is available for download from the Clifford Beers Foundation or from Dr Julia Anwar McHenry.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.973
Threshold uncertainty score0.412

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.098
GPT teacher head0.428
Teacher spread0.330 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2013
Admission routes1
Has abstractyes

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