Unravelling the web: Experiences of adolescents returning to school following a concussion
Bibliographic record
Abstract
One in five adolescents will sustain a concussion in their lifetime. A concussion may result in symptoms that affect an adolescent's ability to attend school and engage in learning tasks. This study was guided by interpretivism. We conducted one-on-one semi-structured interviews to explore the perspectives of 20 adolescents (ages 14-18) returning to school after a concussion. Interviews were coded inductively and analyzed using reflexive thematic analysis. Five interconnected themes emerged with returning to school and accessing school supports: (1) concussion symptoms affected adolescents' schoolwork; (2) access to academic accommodations eased adolescents' return to school; (3) having supportive and understanding friends, family, and teachers facilitated adolescents' return to school; (4) communication amongst school stakeholders was desired, but often lacking; and (5) feeling anxious, frustrated, and sad with the return to school process. Adolescents' experiences were multifaceted and many factors contributed to their return to school experiences. Our findings can inform our understanding of the experiences of adolescents returning to school following concussion and can inform the development of concussion management supports at schools.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".