The Portrayal of Heart Disease in Mass Print Magazines, 1991—2001
Bibliographic record
Abstract
In this article we discuss the portrayal of heart disease based on a content analysis of the highest circulating English-language magazines available in Canada and published in Canada or the United States in 1991, 1996, and 2001. It includes both manifest and latent content analysis. In terms of the manifest analysis, the findings indicate the dominance of the medical frame followed by lifestyle and social structural frames. The latent analysis reveals the following frames: (a) optimism about medicine; (b) medicine as "good" and, by contrast, the body as "bad"; (c) heart disease as an "attack"; (d) heart disease as an individual responsibility; (e) contradictory information; (f) male celebrity patients and doctors; and (g) prestigious medical doctors, journals, and institutions. The medicalized portrayal of heart disease as fear generating is considered. In addition, the lack of attention to social structural causation in contrast to current epidemiological findings is discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".