Evergreen: A child and youth mental health framework for Canada
Bibliographic record
Abstract
Approximately 15% of Canadian youth are affected by mental disorders requiring treatment; however, only approximately 20% access specialty mental health care services (1). Nationally, child and youth mental health policies and plans are largely absent, and ones that are available do not meet benchmarks established by the WHO (2). In response, the Child and Youth Advisory Committee of the Mental Health Commission of Canada supported the development of a child and youth mental health framework for Canada, named the Evergreen Framework. Evergreen is designed to act as a resource for provincial and territorial governments and institutions, and to assist them in the creation, implementation and review of mental health policies, plans, programs and services. Evergreen is not prescriptive. Rather, it provides an opportunity for policy makers, planners and providers to select among a variety of strategic directions depending on local conditions, local needs and fiscal realities. Evergreen's creation included several novel features: it may be the first national-level health framework created almost entirely using online technologies; it was co-written by national and international professionals working collaboratively with young people, parents and individuals with lived experience of mental health issues; and its creation was informed using qualitative research tools and methods. Online technologies were deemed effective and cost effective for national public consultations, committee communications and document creation. Evergreen has six values underpinning specific strategic directions in the areas of promotion, prevention, intervention/ongoing care and research/evaluation. The document can be accessed online at www.teenmentalhealth.org/index.php/initiatives/evergreen or www.mentalhealthcommission.ca/English/Pages/ChildandYouth.aspx. A national distribution strategy is currently being created by the Mental Health Commission of Canada in collaboration with its Child and Youth Advisory Committee.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".