Mandatory Mask ByLaws: Consideration Beyond Exemption for Persons with Disabilities
Bibliographic record
Abstract
Mandatory mask bylaws are set to be instated in both Calgary and Edmonton, and other regions of Canada in efforts to reduce transmission of COVID-19. While mandatory mask bylaws are rooted in the interest of public safety, accessibility challenges for persons with disabilities need to be considered to ensure full participation in society. This communiqué highlights some key considerations for implementation of inclusive mandatory mask guidelines. The City of Calgary and other jurisdictions are implementing a bylaw that mandates face coverings be worn in public transit, public vehicles for hire, public indoor space and City public facilities. There are a number of important considerations for persons with disability in regard to acquisition of face masks, public participation, and enforcement of mask-wearing policies. Without inclusive design and clear communication, mandatory mask bylaws may produce numerous barriers to social re-entry for persons with disabilities. Such barriers include unequal access to face masks, social stigma, exclusion from public spaces, and disproportionate questioning or penalization (Williamson and Whaley 2020). As the economy re-opens, it is important to ensure the safety of all Albertans. While mandatory face mask bylaws have evidence to support effectiveness in slowing transmission, safe economic re-launch must be inclusive of persons with disabilities, a demographic that has been inequitably burdened by the effects of COVID-19 and unduly overlooked in pandemic response and recovery planning.
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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 | 0.016 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.011 | 0.007 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".