School Performance Indicators as Proxy Measures of School Dental Treatment Needs: A Feasibility Study
Bibliographic record
Abstract
OBJECTIVE: This ecological study assessed the feasibility and predictive ability of readily available educational indicators as proxy measures of school dental treatment needs in York Region elementary school children, Canada. METHOD: Data sources included York Region Dental Health Unit dental screening data (2003-2004); area-based income data from Statistics Canada (2001) based on school address postcodes; grade three and grade six school performance results in reading, writing mathematics and English as a second language (ESL) data (2003-2004) obtained from publicly accessible educational websites. RESULTS: Data analyses included 219 schools. Pearson's correlations showed that schools with a higher percentage of children needing urgent dental treatment had significantly higher proportions of children scoring below provincial averages in all six school performance categories. Hierarchical stepwise multiple linear regression analysis showed that two school performance variables remained in the model after controlling for area-based median family income and ESL variables: the percentage of grade six pupils scoring below the provincial average in writing and the percentage of grade 3 pupils scoring below the provincial average in reading. CONCLUSIONS: The study established the feasibility of using school-level school performance indicators as proxy measures of school-level dental treatment needs. School performance results were good predictors of urgent dental treatment in York Region elementary school children. Further studies are needed using data from other jurisdictions to determine the utility of educational indicators in oral health programs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".