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Record W2184085383

Positive mental health and mental illness.

2014· article· en· W2184085383 on OpenAlexaffabout
Heather Gilmour

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsMental healthFlourishingPsychiatryMarital statusMental illnessAnxietySubstance abuseDepression (economics)PsychologyMedicineClinical psychologyEnvironmental healthPopulation
DOInot available

Abstract

fetched live from OpenAlex

Based on the Mental Health Continuum Short Form administered in the 2012 Canadian Community Health Survey - Mental Health (CCHS-MH), the percentages of Canadians aged 15 or older classified as having flourishing, moderate or languishing mental health were 76.9%, 21.6% and 1.5%, respectively. Compared with estimates for other countries, a higher percentage of Canadians were flourishing. In accordance with the complete mental health model, mental health was also assessed in combination with the presence or absence of mental illness (depression; bipolar disorder; generalized anxiety disorder; alcohol, cannabis or other drug abuse or dependence). An estimated 72.5% of Canadians (19.8 million) were classified as having complete mental health; that is they were flourishing and did not meet the criteria for any of the six past 12-month mental or substance use disorders included in the CCHS-MH. Age, marital status, socio-economic status, spirituality and physical health were associated with complete mental health. Men and women were equally likely to be in complete mental health.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score0.569

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.001

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.

Opus teacher head0.033
GPT teacher head0.376
Teacher spread0.343 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations124
Published2014
Admission routes2
Has abstractyes

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