Exploring school oral health outcomes and neighbourhood factors in schools participating in Ontario's "Healthy Schools" recognition program.
Bibliographic record
Abstract
OBJECTIVES: This ecologic study compared school-level oral health outcomes in schools participating in Ontario's "Healthy Schools" program and nonparticipating schools in York Region, Ontario in 2007-2008 and examined the effect of neighbourhood socio-economic factors. METHOD: School-aggregated data were obtained for all 243 elementary schools. York Region Public Health Unit provided oral health data from school dental screenings. We obtained information about schools participating in the Ontario's "Healthy Schools" program from publicly accessible websites. Neighbourhood socio-economic data based on school postcodes were extracted from Statistics Canada (2006) census databases. School oral health outcomes included the percentage of children in each school requiring preventive care, non-urgent dental treatment, urgent dental treatment and children with > or = two decayed teeth. RESULTS: One hundred and six elementary schools (42%) participated in Ontario's "Healthy Schools" program in 2007-2008. Schools participating in the "Healthy Schools" program had a significantly lower percentage of children with > or = two decayed teeth (p < 0.001) and children requiring urgent dental treatment (p = 0.004) than non-participating schools. School participation/neighbourhood socio-economic factors interactions showed that a significantly lower percentage of children in low-income "Healthy Schools" had preventive and urgent dental treatment needs and > or = two decayed teeth than in low-income non-participating schools (p < 0.001). CONCLUSION: Schools participating in Ontario's "Healthy Schools" program had better school oral health outcomes than non-participating schools. School neighbourhood socio-economic factors affected school oral health outcomes, which could suggest that schools situated in poorer neighbourhoods may benefit more from health promotion activities than schools situated in more affluent neighbourhoods.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".