Interventions for addressing market problems in the NDIS: an evidence review
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
As the Australian National Disability Insurance Scheme (NDIS) progresses through its implementation, calls for stewardship of the new disability market increase.As a personalisation scheme, the condition of the disability service markets are tied to the ability for people with disability to access care services.Market conditions such as thin markets, market gaps and market failure threaten the public policy goals of increased choice and control for NDIS participants.We review the evidence for interventions and other market stewardship actions that can be taken by government to steward a quasi-market that provides care or welfare services.We assess the breadth and quality of the evidence base and apply these findings to the case of the Australian NDIS.We conclude that there is sufficient evidence to take actions to steward the NDIS market, but that considerable resources and governance capacity are needed to do so.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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