Health Lifestyles in the United States and Canada: Are We Really So Different?<sup>*</sup>
Bibliographic record
Abstract
OBJECTIVE: Some research suggests that social, political, and cultural life in the U.S. and Canada are growing divergent. We use health lifestyle theories to extend prior research and compare the U.S. and Canada on population health indicators. METHODS: The population health indicators include health behaviors, fertility, and cause-specific mortality for each of the United States (and Washington D.C.), and Canadian Provinces and Territories (N=64). RESULTS: Canada and the U.S. are significantly different on many health lifestyle variables. But, levels of the health lifestyle variables converge at the U.S./Canada border, and some U.S. States and Canadian Provinces or Territories exhibit similar health lifestyle patterns, regardless of whether they share an international border (these are mapped in the paper). CONCLUSIONS: Although Canada and the U.S. differ on major population health indicators, some States, Provinces, and Territories exhibit marked similarities. Our paper concludes with a discussion about how our comparative perspective might inform population health policies.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".