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Record W2314411244 · doi:10.2975/33.2.2009.83.90

A public health approach to promoting better mental health outcomes for children of parents with a psychiatric disability.

2009· article· en· W2314411244 on OpenAlexaff
Elizabeth Fudge, Philip Robinson

Bibliographic record

VenuePsychiatric Rehabilitation Journal · 2009
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsChild, Adolescent and Family Mental Health
FundersDepartment of Health and Ageing, Australian Government
KeywordsMental healthGeneral partnershipGovernment (linguistics)WorkforceWorkforce developmentPromotion (chess)Mental illnessHealth promotionPublic healthHealth policyPublic policyPublic relationsPsychologyNursingPsychiatryMedicinePolitical sciencePolitics

Abstract

fetched live from OpenAlex

TOPIC: This paper describes the development of a national initiative to promote better mental health outcomes for children of parents with a psychiatric disability. PURPOSE: The purpose of the paper is twofold. First, the paper reflects on the policy framework and factors that led to the development of the national initiative and its outcomes. Secondly, the paper is intended to provide information about strategies utilized in the initiative that may be transferable to other settings. SOURCES USED: Health and social policy literature and personal observations are the major sources used. CONCLUSIONS: National public health policy concepts of the promotion of positive health and well-being and the prevention of illness have been a valuable vehicle for increasing awareness of, and responses to, the mental health of Australian children, parents, and families where a parent has a psychiatric disability. The involvement of young people and families in the development of policies and service guidelines that impact upon their lives, in partnership with professionals, government and non-government organizations, warrants continued emphasis. Translating policy into practice requires much ongoing work that can be supported by coalition building, development of a sound research and evidence base, and effective workforce education.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.026
GPT teacher head0.327
Teacher spread0.301 · 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 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

Citations17
Published2009
Admission routes1
Has abstractyes

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