Vaccine coverage for kindergarteners: Factors associated with school and area variation in Vancouver, British Columbia
Bibliographic record
Abstract
We investigated the extent to which school-specific kindergarten vaccination up-to-date status prevalence differs by public and private school types, student demographic composition, and geographic location across schools in Vancouver, and four adjacent British Columbia communities, during 2013–14. School-specific kindergarten coverage for seven vaccinations plus up-to-date status were merged with data on school type and student sociodemographic composition for 219 schools within 9 Local Health Areas (LHAs). In adjusted Tobit regression models, private non-religious (versus public) schools were associated with lower up-to-date status (b = −9.51 percentage points). Student enrollment was positively associated with higher coverage, while greater number of English Language Learners (ELL), students speaking English at home, and Aboriginal students were each negatively associated with up-to-date coverage. The most socioeconomically disadvantaged and advantaged LHAs had the lowest coverage. Our findings identify lower coverage among some types of private schools and in affluent and disadvantaged communities—and corroborate documented US coverage patterns. Future studies need to investigate school and community factors that may contribute to such patterns, in order to identify potential mechanisms and design appropriate interventions to increase vaccine coverage.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".