Bibliographic record
Abstract
When it was first published in 2006, Community Mental Health in Canada was hailed as a much-needed critical overview of the provision of public mental health services in Canada. Comprehensive in scope, its coverage included: the prevalence and impact of mental illness in Canada the complementary and conflicting interests of stakeholder groups, such as mental health professionals, clients, families, governments, and drug companies strengths and limitations of models of care and practice approaches current and developing initiatives in treatment, rehabilitation, housing, and criminal justice programs the clinical benefits and costs of particular interventions the legal and ethical basis of mental health practice. This much-awaited new edition of the book has been substantially revised and expanded to include: a deeper discussion of stigma, the recovery vision, the pharmaceutical industry, the assessment process, and mental health law new topics, such as the two-continua model of mental health/mental illness, rural mental health, and prevention and health promotion recent developments stemming from recommendations of the 2006 Senate report on mental health, including the creation of the Mental Health Commission of Canada in 2007 and its influential national mental health strategy released in 2012. This book fills a gap in the literature in its analysis of both clinical mental health practice and the structural context within which it is situated. Accessibly written and highly informative, it is an indispensable resource for students, practitioners, and policymakers, as well as service recipients, their families, and interested members of the public.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.033 | 0.020 |
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".