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Record W4385294458 · doi:10.1080/09602011.2023.2236776

Unravelling the web: Experiences of adolescents returning to school following a concussion

2023· article· en· W4385294458 on OpenAlexafffund
Heather A. Shepherd, Ashley T Kolstad, Jeffrey G. Caron, Nick Reed, Keith Owen Yeates, Kathryn Schneider, Amanda M. Black, Carolyn A. Emery

Bibliographic record

VenueNeuropsychological Rehabilitation · 2023
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalToronto Rehabilitation InstituteUniversity of TorontoHotchkiss Brain InstituteAlberta Children's HospitalSpinal Cord Injury AlbertaUniversité de MontréalCentre for Interdisciplinary Research in RehabilitationUniversity of Calgary
FundersAlberta Children's Hospital Research Institute
KeywordsConcussionFeelingPsychologyThematic analysisQualitative researchDevelopmental psychologyClinical psychologyPoison controlInjury preventionMedicineSocial psychology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.064
GPT teacher head0.392
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2023
Admission routes2
Has abstractyes

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