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Record W43253939

Creating a provincial family council to engage youth and families in child & youth mental health systems.

2010· article· en· W43253939 on OpenAlexaff
Jana Davidson, Sandy Wiens, Keli Anderson

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsBC Mental Health & Substance Use ServicesUniversity of British Columbia
Fundersnot available
KeywordsGeneral partnershipMental healthGovernment (linguistics)DemographicsPolitical scienceWork (physics)Mental health serviceService (business)Public relationsPublic administrationPsychologySociologyBusinessPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To create a mechanism in British Columbia (BC) for youth and families to directly engage with key provincial committees that develop policy and implement service delivery for child and youth mental health. METHOD: In 2009, a plan was initiated to increase the involvement and influence of youth and families in research, policy, practices and programs related to child and youth mental health. This initiative, led by a provincial family advocacy society in partnership with representatives from health services and government, resulted in the establishment of the Provincial Family Council for Child and Youth Mental Health (PFC). Formation of the PFC occurred in two phases: initially, a Working Group co-chaired by a parent and a youth was tasked with developing the Terms of Reference and framework for the PFC; phase two involved ensuring important constituencies/demographics and competencies were represented in the membership of the PFC. RESULT: The Provincial Family Council is officially endorsed by the provincial government and is informing key provincial committees in British Columbia. CONCLUSION: In BC, the PFC is the vehicle through which youth and families can now work in partnership with "the system" to promote and improve the mental health of BC's children and youth.

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)0.011
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.416
GPT teacher head0.489
Teacher spread0.074 · 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 designQualitative
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

Citations20
Published2010
Admission routes1
Has abstractyes

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