Support for a vaccination documentation mandate in British Columbia, Canada
Bibliographic record
Abstract
BACKGROUND: In recent years, Canadian provinces have been discussing, implementing, and tightening vaccination "mandate" policies for school enrolment. British Columbia (BC), Canada's westernmost province, implemented a Vaccination Status Reporting Regulation (VSRR) in September 2019, which requires the vaccination status of children in public, private, and home schooling be reported to a provincial vaccination registry and education for parents who refuse to vaccinate. Legal vaccination mandates can carry the risk of backlash, thereby making it important to monitor public attitudes across policy implementation windows. The present study aimed to evaluate public support for this new provincial mandate following implementation. METHODS: An online panel of BC adults (n = 1301) was surveyed about 15 vaccine-promotion policy options in April 2020 following mandate implementation. Respondents were representative of the provincial population by gender, age, geographic residence, and percentage of households with children younger than 19 years of age. Poisson regression was used to estimate predictors of policy endorsement, and support for the VSRR. RESULTS: Strong support existed for the VSRR with 88.2% of respondents agreeing or strongly agreeing that parents should be required to provide their children's immunization records at school entry, and 74.6% supporting required education sessions for parents who refuse to vaccinate their children. Overall, the sample was supportive of vaccination, and pro-vaccine attitudes were associated with strong agreement for nearly all vaccine policy options. Policies to impose rewards (e.g., tax credits) and penalties (e.g., fines) were the least likely to receive strong agreement from respondents. CONCLUSIONS: Near the end of the first school year in British Columbia subject to the Vaccination Status Reporting Regulation, support for both the mandated documentation and mandated education elements of the policy are high, and associated with pro-vaccine attitudes. There are not marked differences in strong support based on gender, age, parenting, education level, or income.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".