Bibliographic record
Abstract
In recent years we have noticed an increase in the turn to rights analysis in litigation relating to access to health care. Examining litigation, we can notice a contradiction between on the one hand the ability of the right to health to reinforce privatization and commodification of health care, by rearticulating claims to private health care in terms of human rights, and on the other hand, its ability to reinforce and reinstate public values, especially that of equality, against the background of privatization and commodification. While many hope that rights discourse will do the latter, and secure that access to health care should occur on the basis of need as opposed to ability to pay, it has actually been used to attempt to advance arguments that will allow access to private or semiprivate health insurance in ways that may exacerbate inequality. These types of arguments won ground in the Canadian Supreme Court, but were rejected by the Israeli Supreme Court. In order to avoid this co-optation of right to health, a notion of rights that incorporates the principles of substantive equality is required. Otherwise, one of the unintended consequences of inserting rights analysis into public health care may be that it will reinforce rather than challenge privatization in a way that may increase inequalities.
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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 | 0.014 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.061 |
| Scholarly communication | 0.012 | 0.016 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".