Bibliographic record
Abstract
OBJECTIVES: This article estimates the prevalence of alcohol and illicit drug dependence among Canadians aged 15 or older Comorbidity with depression is examined. DATA SOURCES: The data are from the 2002 Canadian Community Health Survey: Mental Health and Well-being and the National Population Health Survey. ANALYTICAL TECHNIQUES: Cross-tabulations were used to estimate the prevalence of alcohol and illicit drug dependence by selected characteristics. Multiple logistic regression models were used to determine if associations persisted after controlling for potentially confounding factors, and to test temporal relationships between frequent heavy drinking and depression. MAIN RESULTS: In 2002, an estimated 641,000 people (2.6% of the household population aged 15 or older) were dependent on alcohol, and 194,000 (0.8%), on illicit drugs. These people had elevated levels of depression compared with the general population. Heavy drinking more than once a week was a risk factor for a new episode of depression, and depression was a risk factor for new cases of frequent heavy drinking.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".