Wellness in a Smile
Bibliographic record
Abstract
Context: Dental caries is the most common chronic childhood infectious disease in Canada and creates a significant burden in both human and financial costs. Saskatchewan has the third highest rate of day surgeries to treat dental caries among children 1-5 years of age. Objective: To explore and address the strengths and barriers related to the provision of oral health services. Study Design: A community–driven project which utilized participatory health research and transformative action research. Setting: La Loche, an Indigenous community in northern Saskatchewan, Canada. Population: Elders, community leaders, health care providers, teachers, and parents/guardians of pre-school and or school-aged children were invited to participate. Intervention: The research process included co-creating tools with the community that built upon strengths; creating opportunities for change, generated solutions, and transforming the health system the community accessed. Results/Findings: Thirty-eight community members participated in the project. Descriptive analysis was undertaken using SPSSv25 to describe the community participants. An inductive thematic analysis was undertaken by the researchers and research assistants in the community. The most commonly identified themes were: community resilience; the need to improve oral health literacy and skills; and, the mitigation of barriers to access care. Conclusions: This project developed sustainable relationships and built on the community’s own strengths and capacities. The community developed a book written and illustrated by the community members, translated in Dene. The book will be used as a tool to provide targeted information about successes and knowledge gaps.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 0.004 |
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".