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Record W2100616046 · doi:10.1080/13698570600677399

The structure of Canadians' health risk perceptions: Environmental, therapeutic and social health risks

2006· article· en· W2100616046 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealth Risk & Society · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsInstitute of Population and Public HealthUniversity of Ottawa
Fundersnot available
KeywordsPublic healthEnvironmental healthRisk perceptionPopulationPsychologyPerceptionGerontologyMedicineNursing

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.024
GPT teacher head0.337
Teacher spread0.313 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it