Reconstructing Cancer Services in Ontario
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
This paper draws upon experience gained in the recent restructuring of cancer services in Ontario that can provide insights for broader regionalization efforts. Although Ontario is the only province in Canada not to regionalize its healthcare system, the Ontario cancer services system, like most others in Canada, is based on a regionalized system. However, the growing burden of cancer and predictable crises in cancer services in Ontario necessitated a rethinking of how the cancer system should be structured and how services should be delivered. Based on recommendations by the Cancer Services Implementation Committee in 2001, Ontario's cancer services system has recently gone through major restructuring, which has established new institutional arrangements for the Ministry of Health and Long-Term Care, Cancer Care Ontario (CCO) (the provincial cancer agency) , a new Quality Council and 11 new regionally based Integrated Cancer Programs (ICPs). This restructuring has created several levers for promoting regional change and motivating performance improvement, including (1) public reporting on performance with a new quality mandate, (2) fiscal and performance-based agreements between CCO and the ICPs, (3) leading and coordinating communities of practice and (4) direct ministerial access. While institutional relationships are still developing, these experiences may provide important insights for regionalization efforts in other jurisdictions and sectors in Canada.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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