Infection Prevention and Control Considerations for Schools during the 2022-2023 Academic Year
Bibliographic record
Abstract
In-person schooling is essential for children and youth for both academic educational attainment and for the development of social, emotional growth and life skills. Schools are a place where children gain essential academic skills, form friendships, learn social and life skills, and are key settings for physical activity. Schools provide critical services that help to mitigate health disparities, including school nutrition programs, public health services (immunizations, dental screening), health care services (speech and language therapy, occupational therapy), social services and mental health supports. Schools should therefore remain open for in-person learning. Optimizing the health and safety of children and staff in schools requires that certain health and safety measures be in place, irrespective of the COVID-19 pandemic. These “permanent” measures include achieving and maintaining adequate indoor air quality, environmental cleaning and disinfection, hand hygiene, students and staff staying home when sick and up-to-date routine and recommended immunizations for students and staff. Temporary infection-related health and safety measures (e.g., masking, physical distancing, cohorting, active screening, testing) can help reduce the transmission of communicable illnesses in schools. However, some can pose additional challenges to school operations, student learning and student wellness. Furthermore, some of these measures may adversely impact social connectedness, which is of vital importance for children of all ages and of heightened significance in the adolescent years. Therefore, a thoughtful approach based on real-time local level analysis is recommended before reintroducing these temporary measures after careful consideration of the potential benefits and negative consequences. Given that schools are not isolated from communities, implementation of these temporary measures should not be done in isolation of community measures for indoor spaces. These temporary measures are not expected to be required at the start of the 2022 school year.
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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 | 0.010 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.025 | 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".