The Administration of the Non-Insured Health Benefits Dental Care Program and Its Impacts on Nunavut's Inuit Population
Bibliographic record
Abstract
Despite the fact that state-recognized Indigenous persons in Canada are eligible for dental care benefits through the federally-funded Non-Insured Health Benefits (NIHB) program, Nunavut’s Inuit suffer significant oral health disparities relative to the general Canadian population. This thesis explores how the administration of the NIHB program may contribute to the poor oral health outcomes for Nunavut’s Inuit. It proposes that the program as it exists today is financially unsustainable, and is not conducive to public health objectives, identifying three possible areas of reform: the fee-for-service remuneration model, which creates financial incentives for providers to over-treat patients and is not well-suited for Nunavut’s unique environment; the centralized administrative organization, which does not produce policies reflective of Inuit needs; and the provision of service days to communities, which does not follow any discernible formula. I conclude that increased devolution toan Inuit organization may offer solutions to each of these problems.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".