Bibliographic record
Abstract
In Canada, at least 5 percent of the population suffers from a serious, persistent mental illness such as schizophrenia or bipolar disorder. While recent years have seen many changes and improvements in the way we respond to the needs of mentally ill persons, there remain divisions of opinion among stakeholder groups about the way mental health services are delivered. Community Mental Health in Canada offers a timely, critical overview of the provision of public mental health services in Canada, looking at where we have come from, the current situation, and where we may be heading. Concise, yet comprehensive, coverage includes: - the prevalence and impact of mental illness in Canada - the complementary and conflicting interests of stakeholder groups, such as mental health professionals, clients, families, government, and drug companies - current and developing initiatives in treatment, rehabilitation, housing, and criminal justice programs - the clinical benefits and costs of particular interventions, among them pharmacotherapy and cognitive-behavioural treatments - the recovery model - diversity and cultural competence - the legal and ethical basis of mental health practice, particularly as it applies to the use of coercion and involuntary treatment Community Mental Health in Canada fills a gap in the literature in its analysis of both clinical mental health practice as well as the structural context within which it is situated. An indispensable resource for students, practitioners, and policymakers, it also is essential reading for all those interested in how services are provided to our most vulnerable citizens.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.046 | 0.008 |
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".