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Record W4385869157 · doi:10.59962/9780774855075

Community Mental Health in Canada

2006· book· en· W4385869157 on OpenAlexaboutno aff
Simon Davis

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2006
Typebook
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthGeographyPsychologyPsychiatry

Abstract

fetched live from OpenAlex

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.079
GPT teacher head0.279
Teacher spread0.200 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations15
Published2006
Admission routes1
Has abstractyes

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