Bibliographic record
Abstract
OBJECTIVES: This article reports the estimated lifetime prevalence of bipolar I disorder in the household population and describes characteristics of people of working age (25 to 64) affected by this disorder. The relationship between social support and employment status is examined in people with the disorder. DATA SOURCE: Data are from the 2002 Canadian Community Health Survey: Mental Health and Well-being. ANALYTICAL TECHNIQUES: Weighted frequencies and cross-tabulations were used to estimate the prevalence of bipolar I disorder. Multiple logistic regression modeling was used to examine four dimensions of social support in relation to having a job, in people with bipolar I disorder. MAIN RESULTS: An estimated 444,000 (2.6%) people aged 25 to 64 had lifetime bipolar I disorder. Alcohol dependence, asthma, migraine, obesity and panic disorder were far more prevalent among these people, compared with the general population. People with bipolar I disorder who reported readily accessible tangible support had higher odds of being employed, compared with those with less available tangible support.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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.
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".