Playing Against Type: Women, Science, and Stereotypes
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.
Bibliographic record
Abstract
When multiple living donor candidates come forward to donate a kidney to the same recipient, some living donor programs evaluate one candidate at a time to avoid unnecessary evaluations. Evaluating multiple candidates concurrently rather than sequentially may be cost-effective from a societal perspective if it reduces the time recipients spend on dialysis. We used a simple decision tree to estimate the cost-effectiveness of evaluating two to four candidates simultaneously rather than sequentially as potential kidney donors for the same intended recipient. Evaluating two donor candidates simultaneously cost $1,266 (CAD) more than if they were evaluated sequentially, but living donation occurred one month earlier. This translated into $6,931 in averted dialysis costs and a total cost-savings of $5,665 per intended recipient. Simultaneous evaluations also resulted in one percent more living donor transplants and overall gains in quality-of-life as recipients spent less time on dialysis. If recipients were free from dialysis at the start of donor candidate evaluations, simultaneous evaluations also reduced the rate of dialysis initiation by two percent. Benefits were also observed in the three- and four-candidate scenarios. Thus, living donor programs should consider evaluating up to four living donor candidates simultaneously when they come forward for the same recipient as health care system costs incurred are more than offset by avoided dialysis costs.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.006 | 0.001 |
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 it