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Record W1976715379 · doi:10.1177/13591053030085002

Social Representations of Health and Illness among ‘ Baby–boomers’ in Eastern Canada

2003· article· en· W1976715379 on OpenAlexaffabout
Michael Murray, Daryl Pullman, Theresa Heath Rodgers

Bibliographic record

VenueJournal of Health Psychology · 2003
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsBaby boomersNarrativeSociology of health and illnessPerspective (graphical)PsychologyHealth psychologyGovernment (linguistics)ConversationGerontologySocial psychologySociologyMedicineHealth carePublic healthNursingPolitical science

Abstract

fetched live from OpenAlex

For several decades, government agencies in the western world have promoted personal responsibility for health and illness. This study explored the extent to which this perspective was integrated into the everyday beliefs about health and illness held by a sample of baby-boomers from eastern Canada. Approximately 150 baby-boomers participated in a series of individual interviews and group discussions. Detailed analysis of their conversation revealed a number of social and personal narratives about the changing character and experience of health and illness. The dominant viewpoint was in terms of lifestyle and personal responsibility. We consider the role of narratives in the construction of social representations of health and illness.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0150.005
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.135
GPT teacher head0.524
Teacher spread0.389 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations41
Published2003
Admission routes2
Has abstractyes

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