COVID-19 Immunity Certificates (Passports) as an Intergovernmental problem in Canada
Bibliographic record
Abstract
This paper explores the issue of COVID 19 immunity certificates, also known as immunization or vaccine passports, in Canada as an intergovernmental problem. The global pandemic has demanded a coordinated response from all levels of government in Canada to address various issues such as containing the virus spread, public health, immunization, emergency care, etc. The response to the global pandemic also witnessed partial, or even, full shutdowns of the segments of the economy to contain the virus spread, followed by nationwide immunization programs administered by different provinces or territories. The immunity of the population is detrimental for the safe re-opening of the economy, and various jurisdictions across the world are exploring the idea of immunity certificates as an enabler. This paper analyzes the issue of immunity certificates within Canada as an inter-governmental problem and explores possible solutions and recommendations to address it.
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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 | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.024 | 0.013 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.010 | 0.011 |
| Insufficient payload (model declined to judge) | 0.008 | 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".