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 dissertation examines the factors that have the most significant impact on the pace of change in the primary care (PC) sector in Ontario. In Canada, there have been many attempts to improve the PC system through the introduction of a variety of primary care reform (PCR) models. Some say that there is insufficient movement in the PC sector and that it is in a policy gridlock. Others assert that substantial progress has been made and that transformational change is proceeding. This dissertation demonstrates that PCR – the movement from PC to some form of primary health care (PHC) – is multi-dimensional and complex. It identifies the multiple dimensions of PHC and demonstrates that each dimension has implications for the structural relationships between the state and the medical association in the PC sector in Ontario. The framework for this dissertation was derived from three bodies of literature: PC/PHC, neo-institutionalism and professional autonomy. The research design used involves qualitative and quantitative methods, including historical analysis, document analysis, key informant interviews and qualitative data. The case study of PCR in Ontario demonstrates that while there have been some changes in the methods of physician payment and in the organization and delivery of PC, the majority of PCR models have not fundamentally altered the underlying institutional and structural relationships that characterize the sector. This includes the profession’s ability to control the political, economic and clinical aspects of care. Thus, the PCR models that propose the greatest amount of reform – those that alter structural relationships between the state and the medical association in a manner that results in a significant impact on the balance of power in the PC sector- are less likely to be adopted by physicians. This dissertation corroborates that the PCR models that have the greatest impact on professional autonomy are those that remain at the margins of the health care system, whereas the models that have little or no impact on autonomy have been more readily adopted.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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