PBS copayments and safety nets - A commentary on Sweeny and Doran and Robertson
Bibliographic record
Abstract
IN ANY DISCUSSION of key pharmaceutical policy issues, Australia?s National Medicines Policy (NMP) is an important touchstone of which Australians can be justly proud. Those familiar with the stalled evolution of the Canadian National Pharmaceuticals Strategy and the uneven provincial patchwork of pharmaceutical coverage in Canada for example, may wonder why it is that a country with longstanding universal health care has neither universal coverage of medicines nor a cohesive national policy framework like Australia?s NMP. One of the fundamental objectives of the NMP is to deliver ?timely access to the medicines that Australians need, at a cost individuals and the community can afford?. It also says that ?cost should not constitute a substantial barrier to people?s access to medicines they need? and that while ?. . . the Pharmaceutical Benefits Scheme (PBS) facilitates access to certain prescribed medicines by subsidising costs . . . (S)uch subsidies are not costless, and the community as a whole must bear them?. Importantly it also says that ?. . . access to medicines should support the rational use of those medicines?.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".