WOMEN AND HEART TRANSPLANTATION: AN ISSUE OF GENDER EQUITY?
Bibliographic record
Abstract
Heart transplantation (HT) is increasingly commonplace in countries with advanced health care systems. A review of the family and HT literature points to a gender inequity in the field: Men are more likely to be heart transplant recipients; women are more likely to contribute as their caregivers. In this critique, we argue that there are not only physiological but also social and economic issues that contribute to inequitable access to HT for women. Further, we point out that another invisible inequity in the heart transplant field is the lack of acknowledgment of, and support for, women whose contributions as family caregivers to the heart transplant process often ensure the success of heart transplant procedures. The authors call for recognition of these inequities and the development of policies that have the potential to ensure that women have equitable access to cardiovascular care in general and HT in particular, and that woman are recognized for, and supported in, their role as caregivers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".