Impacts of COVID-19 on School Absenteeism Among Canadian Children and Youth.
Bibliographic record
Abstract
Chronic school absenteeism is associated with adverse health and social outcomes for children and youth across development. The present paper analyzed data published by the Canadian Broadcasting Corporation in 2024 about rates of absenteeism in Canada pre-, mid-, and post-COVID-19. Data from a total of 11 regions in Canada, representing over 740,000 children in urban and rural public schools across the country, were analyzed. Non-parametric tests compared pre- and post-COVID-19 absenteeism rates, and correlations with the length of school closures were also explored. Data trends suggest that average chronic absenteeism rates increased significantly from pre- to post-COVID-19 for elementary students, but the increase for secondary students was not as marked. Elementary students living in regions with more school closures throughout the pandemic appear to have higher chronic absenteeism post-pandemic. This trend was not seen for secondary students. Although these results are exploratory in nature, the findings suggest that children, particularly those in the elementary grades, may be at risk of ongoing absenteeism as they develop. Results are discussed in the context of existing literature on absenteeism, Canada's response to the COVID-19 pandemic, and the global context.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".