The structure of Canadians' health risk perceptions: Environmental, therapeutic and social health risks
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
Abstract Numerous studies have examined health risk perception through public ratings of health hazards, comparing them across lists, across time or across subpopulations. Yet, few have unveiled people's mental organization and representation of the factors affecting health risk. In order to better understand how the construct of health risk is conceptualized by the public, a principal components analysis was conducted on data from a previous national survey in which Canadians rated a series of hazards with respect to perceived level of health risk. Canadians conveyed their concerns as falling into three broad components: Environmental (e.g., nuclear waste, PCBs or Dioxins, etc.), Therapeutic (e.g., contact lenses, medical X-rays, etc.), and Social health risks (e.g., motor vehicle accidents, street crime, etc.). Generally, hazards perceived as posing the most health risk were those belonging to Social health risks. Perceptions of Environmental, Therapeutic and Social health risks were higher among women, respondents with lower education or income, and among residents of Québec. Results are discussed in relation to the population health approach (Evans et al. 1994 Evans, R. G., Barer, M. L. and Marmor, T. R. 1994. Why are Some People Healthy and Others Not?, New York: Aldine de Gruyter. [Crossref] , [Google Scholar]), in which the physical environment, biology, lifestyle, social environment and health care represent major determinants of the health of populations and population subgroups.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.008 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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