Bibliographic record
Abstract
The increasing number of patients in need of organtransplantation has fostered the growth of an internationalblack market in which the wealthy purchase kidneys, liver,or other tissue from vulnerable persons. Oftentimes, victimsendure substandard care and are forced to consent to lifethreatening procedures for little to no compensation. Since voluntary donation alone is unable to reconcile supply with demand, more economically developed countries have begun to experiment with reimbursing donors for incurred expenses and creating procedural barriers for those who would prefer to opt out of post-mortem donation.1 However, poverty can be equally as problematic as the shortage of organs itself. In this regard, the ideal solution should eliminate the initial need for people to donate out of desperation. After relating the organ trade to issues of substandard care and criminal exploitation, it becomes evident that nonfinancial donor compensation, in the form of housing, tuition, insurance, or employment, could be an effective means of suppressing the illegal organ marketand restoring basic rights to disadvantaged donors.
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 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) | 0.000 | 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) | 0.001 | 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 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".