The School Experiences of Children with Epilepsy: A Phenomenological Study.
Bibliographic record
Abstract
In Canada, approximately three out of every 1,000 children have epilepsy, making it one of the most commonly diagnosed neurological conditions affecting children. It is therefore highly probable that educators will work with this population at some point in their careers. Epilepsy is linked to academic underachievement and social isolation, but little is known about how students with epilepsy experience school, making their unique needs less familiar to school personnel. The purpose of this phenomenological study is to identify the school experiences of children with epilepsy. Specifically, this study identified children’s perceptions and experiences of having epilepsy at school and acquired insights to inform future studies. Participants were six students (ages 7-12 years) who have a diagnosis of epilepsy and reside in Victoria, British Columbia, Canada. Data were gathered through open-ended, semistructured interviews. These interviews were transcribed and analyzed to obtain the essential experiences of school children with epilepsy. Four categories emerged from these interviews: (a) seizures, (b) academics, (c) social belonging and (d) awareness. Implications for schools and directions for future research are discussed.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".