Alberta COVID-19 Response: Critical Considerations for Health Care Worker Single-Site Exclusion Policies and Wage Supplements
Bibliographic record
Abstract
Abstract: On April 20, 2020, Alberta Minister of Health Tyler Shandro issued a single-site exclusion order and wage supplement for health care aid workers at long term care centres in an effort to reduce the transmission of COVID-19 between and within high-risk populations. Adequate staffing and diligent infection prevention measures in long term care centres are necessary to maintaining a medically secure environment and alleviating the pressures that are being faced by acute and intensive care units in-hospital, which have reached capacity as of December 2020. This paper argues that the April 20th order was an insufficient and inefficiently executed iteration of a policy intended to protect both the lives of residents and livelihoods of employees in long-term care throughout the pandemic. I propose instead that centralized regulation of all health care aid and nursing support staff would have better addressed the financial and health concerns that this policy aimed to target. I will also point out systemic issues in Canadian long-term care provision that have been aggravated by COVID-19, as well as reiterate the need for general infection prevention measures outside of the long-term care setting.
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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 | 0.027 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.012 | 0.012 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".