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Record W2058820611 · doi:10.1258/mi.2007.007035

Heart disease and gender in mass print media

2008· review· en· W2058820611 on OpenAlex
Juanne N. Clarke

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.

Bibliographic record

VenueMenopause international · 2008
Typereview
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsSeriousnessMedicineDiseaseHeart diseaseMass mediaHonourGerontologyPathologyAdvertising

Abstract

fetched live from OpenAlex

Heart disease is a major cause of death, disease and disability in the developed world for both men and women. Nevertheless, the evidence suggests that women are under-diagnosed both because they fail to visit the doctor with relevant symptoms and because doctors tend to dismiss the seriousness of women's symptoms of heart disease. This study examines the way that popular mass print media present the possible links between gender and heart disease. The findings suggest that the 'usual candidates' for heart disease are considered to be high achieving and active men for whom the 'heart attack' is sometimes seen as a 'badge of honour' and a symbol of their success. In contrast, women are less often seen as likely to succumb, but they are portrayed as if they are and ought to be worried about their husbands. Women's own bodies are described as so problematic as to be perhaps useless to diagnose, because they are so difficult to understand and treat.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.824
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.208
GPT teacher head0.514
Teacher spread0.306 · 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