Fatalism and short‐termism as cultural barriers to cardiac rehabilitation among underprivileged men
Bibliographic record
Abstract
Cardiovascular diseases are a leading cause of death and disability in Canada, and individuals of low socioeconomic status appear particularly vulnerable to such disorders. Although many health-related institutions have promoted cardiovascular health and have created cardiac rehabilitation programmes, they have not attained their desired outcomes, especially amongst socioeconomically deprived men. Drawing on Pierre Bourdieu's sociocultural theory, this qualitative study aims to understand the social mechanisms underpinning the lifestyles and health practices of men who had suffered a cardiovascular incident requiring hospitalisation. In all, 20 interviews were conducted with francophone men aged 40 to 65 years living in the province of Québec, Canada. The analysis strongly suggests that the respondents' living conditions and disease were significant obstacles to their adoption of a healthy lifestyle. Their despair and pessimism, apparently originating in the harshness of their financial realities, physical limitations and social networks, led them to believe that they could do little to control their lives, thereby limiting the fulfillment of any long-term ambitions. Therefore, the adoption of a habitus characterised by fatalistic and short-term perceptions of health influenced their lifestyle choices, leading them to maintain lives that were in stark contrast with the recommendations made by health promotion experts.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".