The Changing Face of Healthcare Delivery: Making Room for Other Disciplines
Bibliographic record
Abstract
Each of canada's provinces and territories needs to modernize its basket of insured health services to reflect a broader conceptualization of healthcare. The narrow focus on hospital and physician services excludes multidisciplinary care models, such as those reflected by Family Health Teams in Ontario, Groupe de médecine de famille in Québec and primary care networks in Alberta. In these models, a wider range of services and supports is being used to respond to changing demographics and patterns of morbidity, and whose residents' care needs include social workers, mental health providers, personal support workers and dietitians.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.041 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.018 | 0.014 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.033 | 0.048 |
| Insufficient payload (model declined to judge) | 0.010 | 0.007 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".