Health Care Policy and Opinion in the United States and Canada
Bibliographic record
Abstract
Heated debate surrounds the topic of health care in both the US and in Canada. In each country, these debates are based in some measure on perceptions about health care in their neighboring country. The perceptions held by Canadians about the US health care system, or those held by Americans about Canada, end up having significant impact on health policy makers in both countries. Health Care Policy and Opinion in the United States and Canada examines these perceptions and their effects using an extensive cross-national survey made up of two public opinion polls of over 3,500 respondents from the US and Canada. The book first develops a rigorous and detailed explanation of the factors that contribute to levels of satisfaction among Americans and Canadians with respect to their health care systems. It then attempts to study the perceptions of Canadians vis-à-vis the US health care system as well as the perception of Americans toward Canada’s health care system. The authors examine how these perceptions impact health policy makers, and show how the survey results indicate remarkable similarities in the opinions expressed by Americans and Canadians toward the problems in the health care system, heralding perhaps a measure of convergence in the future. The authors present how perceptions on health care indicate elements of convergence or divergence between the views of Canadians and Americans, and discuss how these citizen opinions should inform health care policy change in both countries in the near future. This book should generate interest in scholars of health care, public opinion, and comparative studies of social policies and public opinion.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.015 | 0.011 |
| Scholarly communication | 0.012 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".