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Record W1999655379 · doi:10.1300/j013v45n01_02

Gender and Heart Disease in Mass Print Media: 1991, 1996, 2001

2007· review· en· W1999655379 on OpenAlexaffabout
Juanne N. Clarke, Gudrun van Amerom, Jeannine Binns

Bibliographic record

VenueWomen & Health · 2007
Typereview
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsUniversity of GuelphWilfrid Laurier University
Fundersnot available
KeywordsDepictionMass mediaDiseaseHeart diseaseMenopauseMedicinePsychologyGerontologyGender studiesSociologyAdvertisingPathologyArtInternal medicine

Abstract

fetched live from OpenAlex

Using a qualitative content analysis, this paper investigates the portrayal of heart disease among men and women in 75 articles of the 20 highest circulating mass print magazines in 1991, 1996 and 2001 available in Canada and published in the United States and Canada. The majority of articles were directed at men. Whether the article focused on men or women, the depiction of heart disease tended to be gendered. For men, heart disease was described as almost inevitable and as a badge of successful manhood. Its experience and treatment were portrayed as mechanical and aggressive, as well as the result of individual lifestyle choices that could be "fixed" by the individual himself. In comparison, women's heart disease was portrayed as something of which to be ashamed, especially since diagnosis conflicts with the role of "caregiver." Women were described as ignorant, emotional victims. Moreover, women's bodies were portrayed as pathological, especially after menopause. Practical and theoretical implications of the findings are discussed.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.012
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.139
GPT teacher head0.419
Teacher spread0.281 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations14
Published2007
Admission routes2
Has abstractyes

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