Comparing Health of People with Heart Disease in the United States and Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Heart disease is among the leading causes of death in the U.S. and Canada. Despite the U.S.'s higher spending on health care, it is unclear whether persons with heart disease fare better in one country or the other.Methods: To evaluate and compare the health of people aged 45 and older in the U.S. and Canada, we drew upon the Joint Canada-U.S. Survey of Health (JCUSH), a random telephone interview conducted from 2002 to 2003. We used self-reported fair or poor health, disability, and functional impairment as dependent variables in logistic regressions, which controlled for demographic variables and other risk factors.Results: Adjusting for covariates, Canadian respondents with heart disease reported better health as measured by disability, but there was no difference for functional impairment or self-reported fair or poor health. The odds ratios (Canada:U.S.) were 1.10 (p=0.69) for fair or poor health, 0.56 (p=0.06) for disability, and 0.78 (p=0.32) for functional impairment.Conclusions: Our results indicate that people with heart disease are in better health in Canada as measured by disability, but there is no difference for overall self-reported health or functional impairment. Further research must be done to determine the cause of outcomes differences among heart disease patients.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it