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
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.
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 | 0.005 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it