Bibliographic record
Abstract
Though there are many differences between health regions, there is some common ground.Most regional health authorities have appointed boards and are granted global budgets by their provincial governments.They also all lack control over two significant health care expenditures: physicians' fees and drugs.Another commonality, at least according to rural physicians, is that regional health authorities have not been kind to smaller communities.For small communities, regionaliza-tion has, in effect, been centralization.In efforts to improve efficiency by reducing the duplication of services in areas of low population density, some regional boards have closed rural hospitals or have closed particular departments of regional hospitals.According to some doctors, the money saved might be coming at the cost of human lives.For instance, Ontario Ombudsman André Marin is investigating a regional health agency in the Niagara region after receiving numerous com-plaints that two emergency rooms in the area were closed without proper public consultation."It's not that we are against regionalization; it's just how it has been implemented in almost every region in Canada," says Dr.
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 | 0.006 | 0.052 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.007 |
| Insufficient payload (model declined to judge) | 0.291 | 0.013 |
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; both teacher heads agree on what is shown here.
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".