Exploring School Absenteeism: Reasons Why, Mental Health Profiles, and Parental Involvement Perspectives
Bibliographic record
Abstract
This study investigated school absenteeism among a sample of Canadian students (N = 88), links with mental health (ADHD, ADHD with depressive symptoms, and neither), and parents’ school involvement beliefs. Reasons as to why students with different mental health profiles missed school were also explored. As part of a larger longitudinal study, parent informants completed an online questionnaire about school absenteeism, mental health, and parent beliefs. The average number of school days missed in the past two weeks was 2.21 for students with both ADHD and depressive symptoms, 1.86 for those with neither, and 1.52 for those with only ADHD. Reasons for school absenteeism differed across groups and the main effect of mental health profile was significant when parent beliefs regarding school involvement were controlled for. These findings highlight features of school absenteeism following the COVID-19 pandemic, illustrating the importance of mental health profiles and parental school involvement beliefs when investigating school absenteeism.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| 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".