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Record W2026843769 · doi:10.1080/13698575.2014.884213

‘I can choose’: the reflected prominence of personal control in representations of health risk in Canada

2014· article· en· W2026843769 on OpenAlexafffundabout
Jennifer E. C. Lee, Christine Dallaire, Marie-Pierre L. Markon, Louise Lemyre, Daniel Krewski, Michelle C. Turner

Bibliographic record

VenueHealth Risk & Society · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsUniversity of Ottawa
FundersHealth Canada
KeywordsPublic healthPsychologyVulnerability (computing)Agency (philosophy)PerceptionHealth riskFocus groupSocial psychologyRisk perceptionEnvironmental healthMedicineGerontologyNursingSociology

Abstract

fetched live from OpenAlex

Multidisciplinary research has contributed to a better understanding of the personal and societal correlates of risk perception. However, representations of ‘health risk’ remain to be characterised more fully. Drawing on a Canadian study conducted in 2004, an analysis was conducted to develop better characterisations of individual representations of health risk. The study involved a national telephone survey (N = 1503) and face-to-face semi-structured interviews with individuals across Canada (N = 73) in which participants’ representations of health, risk and health risk were elicited using a word association technique. In the telephone survey, it was found that representations of health risk were most frequently negative, with many participants referring to disease and illness. The concept of health risk was also associated with lifestyle, individual control and personal agency, suggesting that individual health behaviour and personal responsibility for health were prominent features of public discourse on health risk in Canada. However, subtle variations in representations of health risk were observed in analyses of semi-structured interviews, pointing to important differences according to age and gender in this specific discourse. There was agreement among participants that health risks were associated with individual vulnerability and menace to life or health, and that such vulnerability increased with age. However, women were less likely to focus on the idea of actively making choices to control health risks and less frequently made references to the positive aspects of health risks.

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.

How this classification was reachedexpand

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.784

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.349
Teacher spread0.326 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2014
Admission routes3
Has abstractyes

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