Influence of Private Practice Employment of Dental Therapists in Saskatchewan on the Future Supply of Dental Therapists in Canada
Bibliographic record
Abstract
The profession of dental therapy has long been held up as a model for reducing access to care barriers in high-risk, underserved populations worldwide. Dental therapists practice in many countries delivering preventive and basic restorative care to children and adults. In North America, dental therapy education and practice date back to 1972 with the establishment of training programs at the National School of Dental Therapy in Fort Smith, Northwest Territories, and the Wascana Institute of Applied Arts and Science in Regina, Saskatchewan, as a means of reducing access to care barriers in Canada's northern territories and to implement the Saskatchewan Health Dental Plan, respectively. At present, dental therapy in North America has reached a crossroads: in the United States, the profession is cautiously being explored as a solution for improving access to care in at-risk populations. In 2011, Canada's sole training program, the National School of Dental Therapy in Prince Albert, Saskatchewan, closed when the federal government eliminated its funding. This article examines the impact of private practice employment of dental therapists in Saskatchewan on the supply of dental therapist human resources for health in Canada's three northern territories (Northwest Territories, Nunavut, and Yukon), its role in the closure of the National School of Dental Therapy in 2011, and ramifications for the future of dental therapy in Canada.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".