The Development and Assessment of a Measure of the Quality of Preventive Oral Health Services for First Nations Communities
Bibliographic record
Abstract
Indigenous populations face inequities in oral health compared to the Canadian population. Prevention is key in reducing this gap. This thesis develops and assesses the sensibility and initial validity of a novel instrument for preventive oral health care delivery to Indigenous communities in Canada. Using a mixed-methods sequential approach and concept mapping methodology, the resulting Quality Preventive Oral Health Services for Indigenous Communities (QPOHSIC) scale contains 53 items organized into 7 domains, which present new themes that are not included in previous measures of oral health care delivery, while maintaining themes captured by frameworks and measurements of quality oral health services. The QPOHSIC demonstrated excellent sensibility. Initial construct validity supports that the QPOHSIC measures dental satisfaction, with additional measures of quality pertaining to Indigenous peoples that do not exist in other dental satisfaction measures. Further reliability and validity testing will be performed to complete psychometric assessment of the QPOHSIC scale.
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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 | 0.006 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".