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Record W2159480904 · doi:10.1176/appi.ps.201100269

Evergreen: Creating a Child and Youth Mental Health Framework for Canada

2013· article· en· W2159480904 on OpenAlexafffundabout
Stan Kutcher, Alan McLuckie

Bibliographic record

VenuePsychiatric Services · 2013
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsDalhousie University
FundersIWK Health CentreDalhousie UniversityMental Health Commission
KeywordsMental healthCommissionAdvisory committeeEvergreenPublic relationsPsychological interventionPublic healthMedical educationPsychologyNursingPolitical scienceMedicinePsychiatryPublic administration

Abstract

fetched live from OpenAlex

Mental disorders affect many young Canadians, and most do not access care, partly because of lack of health policy-driven programs and services. Recognizing this policy need, the Child and Youth Advisory Committee of the Mental Health Commission of Canada created Evergreen: A Child and Youth Mental Health Framework for Canada. Evergreen was designed as a framework to guide development, implementation, and review of child and youth mental health policies, plans, and services across Canada. This Open Forum report describes the framework and the innovative features used to create Evergreen, including the advisory committee structure, application of qualitative research methods and tools, informed public input, and use of online collaborative writing technologies.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.137
GPT teacher head0.527
Teacher spread0.390 · 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 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

Citations13
Published2013
Admission routes3
Has abstractyes

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