Breaking down barriers: towards the development of a low-cost community dental clinic in Prince George, British Columbia
Bibliographic record
Abstract
Access to dental care for all population groups in Canada is inequitable. While the overall dental health of Canadians is very good, there are disparities that primarily affect the financially disadvantaged in society. Current methods for delivering dental care demonstrate an economic gradient favoring more affluent members of society. An examination of the methods for financing dental care, both public and private, will be conducted to better understand the challenges to solving this dilemma. The role of government and dental professionals in providing access to dental care will be explored. The existing gaps in dental care delivery will be illustrated, and the current methods for providing dental care in northern British Columbia will be identified. While continued government support for disadvantaged groups is necessary, an investigation of alternative models of low-cost dental care delivery will be undertaken to determine the feasibility of these models in Prince George, British Columbia. Solutions that are being used in other nations will be considered to determine their applicability to our local situation in northern British Columbia. A preferred model will be proposed for implementation in Prince George. Ultimately, two questionnaires will be developed to assess the attitudes and preferences of dental professionals and social agencies in coming to a consensus on the best model for bridging the existing gaps in dental care. --Leaf i.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".