ANALYSING CONTRACTUAL ENVIRONMENTS: LESSONS FROM INDIGENOUS HEALTH IN CANADA, AUSTRALIA AND NEW ZEALAND
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
Contracting in health care is a mechanism used by the governments of Canada, Australia and New Zealand to improve the participation of marginalized populations in primary health care and improve responsiveness to local needs. As a result, complex contractual environments have emerged. The literature on contracting in health has tended to focus on the pros and cons of classical versus relational contracts from the funder's perspective. This article proposes an analytical framework to explore the strengths and weaknesses of contractual environments that depend on a number of classical contracts, a single relational contract or a mix of the two. Examples from indigenous contracting environments are used to inform the elaboration of the framework. Results show that contractual environments that rely on a multiplicity of specific contracts are administratively onerous, while constraining opportunities for local responsiveness. Contractual environments dominated by a single relational contract produce a more flexible and administratively streamlined system.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it