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Record W2297305570 · doi:10.7870/cjcmh-2009-0019

Recovery in the Canadian Context: Feedback on the Framework for Mental Health Strategy Development

2009· article· en· W2297305570 on OpenAlexaffvenueabout
Gillian Mulvale, Mary Bartram

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2009
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsMcMaster UniversityMental Health Commission of Canada
Fundersnot available
KeywordsMental healthCommissionPsychologyContext (archaeology)Orientation (vector space)Position (finance)Applied psychologyPublic relationsPolitical sciencePsychiatryBusinessGeography

Abstract

fetched live from OpenAlex

The Mental Health Commission of Canada is developing a strategy to transform the mental health system in Canada. National consultations held in spring 2009 provided feedback on a proposed framework of goals for the strategy. The first goal discusses a recovery orientation for people living with mental health problems and illnesses. Consultation participants strongly supported a recovery orientation but raised a number of concerns, especially for children, youth, and seniors. In response, the strategy will position recovery as part of a comprehensive approach that includes promoting the best possible mental health and well-being across the lifespan.

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)0.073
metaresearch head score (Gemma)0.116
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.703
Threshold uncertainty score0.815

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0730.116
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.007
Science and technology studies0.0270.011
Scholarly communication0.0210.008
Open science0.0060.015
Research integrity0.0130.020
Insufficient payload (model declined to judge)0.0100.001

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 head0.317
GPT teacher head0.442
Teacher spread0.125 · 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 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

Citations14
Published2009
Admission routes3
Has abstractyes

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