Bibliographic record
Abstract
Ethics raises questions about what kind of society we ought to be, questions that are at the heart of this case. Increasingly, inequalities in healthcare fueled by lack of access, inadequate insurance coverage, and rising costs are creating dilemmas in the proper distribution of healthcare resources. Questions of distributing scarce and valuable resources are fundamentally questions of justice. The classic definition of justice is the duty to give to each person what they deserve and can legitimately claim so that justice is understood as a moral obligation to help persons exercise their rights. Distributive justice, i.e., what distribution of resources is fair, equitable, and appropriate, thus turns on the concept of rights. One of the key questions in this case is whether and to what extent this patient has a right to treatment for his heart disease. In the classic understanding of justice, he must assert and we as a society must agree that he has a right to treatment for his heart condition before we are morally obligated to provide this care. Are there limits to this patient's right to healthcare? If so, what are they? The differing principles of distributive justice use different criteria to rank or weight decisions regarding the proper and just distribution of healthcare services. In this case, at least two competing but ethically valid principles can be identified: the humanitarian principle and the libertarian principle.
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 | 0.013 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.019 |
| 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; both teacher heads agree on what is shown here.
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".