Bibliographic record
Abstract
OBJECTIVES: This article examines patterns of alcohol consumption in relation to a subsequent new diagnosis of or death from heart disease. DATA SOURCES: The analysis is based on longitudinal data from the first three cycles of the National Population Health Survey (NPHS), conducted by Statistics Canada in 1994/95, 1996/97 and 1998/99. The data are from a sample of 3,379 women and 2,635 men from the household population, who, in 1994/95, were aged 40 or older and reported that they had not been diagnosed with heart disease. Cause of death was established with information from the Canadian Mortality Database. ANALYTICAL TECHNIQUES: Descriptive data were produced using bivariate frequencies. Multiple logistic regression was used to examine associations between level of alcohol consumption reported in 1994/95 and a subsequent diagnosis of or death from heart disease. MAIN RESULTS: Women reporting moderate alcohol consumption--two to nine drinks in the past week--had significantly lower odds of receiving a new diagnosis of or dying from heart disease between 1994/95 and 1998/99, compared with women who reported lifetime abstinence. No association between alcohol consumption and subsequent heart disease emerged for men.
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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".