What Moves Public Opinion on Health Care? Individual Experiences, System Performance, and Media Framing
Bibliographic record
Abstract
Although Canadians generally support their health care "model," dissatisfaction with health care policy and demands for fundamental changes in the system often surface in public opinion surveys. We seek to explain variations in levels of dissatisfaction and demands for health care reform with a series of micro- and macro-level analyses that account for a combination of individual experiences with health care delivery, broader measures of system performance, and media framing. Empirical analyses are guided by a model of opinion on policy that distinguishes between personal and collective, and prospective and retrospective assessments. This view helps make sense of the fact that those who use the system can have generally positive experiences even as there is decreasing confidence in the system's ability to meet future needs, and increasing demand for reform. What drives these divergent perceptions? We suggest that system performance plays a role in driving the long-term trend, but media content may also be an important driver as well, particularly for collective attitudes.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".