Bibliographic record
Abstract
A Leger poll taken near the beginning of the Covid-19 pandemic found that 60 percent of Canadians thought that any future vaccine should be mandatory for all citizens.1 A more recent Nanos poll completed on 2 August 2021 showed that this high level of support did not wane as 53 percent of Canadians fully supported mandatory vaccinations, while a further 21 percent “somewhat support” such a policy.2 Although neither the federal nor provincial governments have implemented a generally applicable mandatory vaccination policy, other countries are acting upon similar support. Austria’s Chancellor recently announced that vaccines will be mandatory as of 1 February 2022, making Austria the first of several European countries to adopt a mandatory vaccination policy.3
 1 See “Covid-19 Tracking Survey Results” (27 April 2020) at 13, online (pdf): Leger <leger360.com/wpcontent/uploads/2020/04/tracking_covid19_13386-124_EN_week6-2.pdf> [perma.cc/Q9GB-759G].
 2 See Sarah Turnbull, “Majority of Canadians support mandatory vaccinations: Nanos survey”, CTV News (5 August 2021), online: <www.ctvnews.ca/health/coronavirus/majority-of-canadians-support-mandatoryvaccinations-nanos-survey-1.5536106> [perma.cc/EFA9-69S6].
 3 See Philip Olterman, “Austria plans compulsory Covid vaccination for all”. The Guardian (19 November 2021), online: <www.theguardian.com/world/2021/nov/19/austria-plans-compulsory-covid-vaccinationfor-all> [perma.cc/5JYH-LMHT]. Subsequently, Greece has required all people over the age of 60 to receive a vaccine, while Italy has voted in favour of making vaccinations mandatory for those over 50.
 For a more detailed review of the policies in place in Europe, see Lauren Chadwick, “Which countries in
 Europe will follow Austria and make COVID vaccines mandatory”, Euro News (1 February 2022), online:
 <www.euronews.com/2022/01/06/are-countries-in-europe-are-moving-towards-mandatory-vaccination>
 [perma.cc/RNQ9-NPA6].
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".