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Record W6991153426

AN EXPLORATION OF ADOLESCENT STUDENTS’ RETURN-TO-SCHOOL TRANSITION AFTER SUSTAINING A SPORT-RELATED CONCUSSION

2018· dissertation· en· W6991153426 on OpenAlexaboutno aff

Bibliographic record

VenueQueen Margaret University Publications Repository (Queen Margaret University) · 2018
Typedissertation
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsConcussionPopulationSession (web analytics)Suicide preventionInjury preventionPoison controlHuman factors and ergonomicsFocus group
DOInot available

Abstract

fetched live from OpenAlex

Background Information Concussions are the leading cause of head trauma in the Canadian paediatric population (Paniccia and Reed 2017). Twenty to thirty percent of children/adolescents experience persistent post-concussive symptoms which last longer than four weeks (CPS 2014; McCrory et al. 2018). Persistent symptoms and prolonged school absence impede a student’s ability to perform the occupation of going to school, which is problematic given the vital role participation at school has in childhood development (Hinder and Ashburner 2017). Return-to-play has been the focus of concussion research, neglecting the return-to-school (RTS) process. A literature review was carried out to investigate what is known about the RTS transition for students post-concussion. Emergent themes include issues with current RTS processes, considerations prior to RTS, and recommendations to improve the RTS transition. Aim The intent of the proposed descriptive phenomenological study is to explore the RTS process experienced by adolescents with persistent post-concussion symptoms (PPCS) in their school setting. Methods Prospective participants include assenting 13-16-year-old adolescents with parental consent, who have only sustained one previous sport-related concussion, experienced persistent post-concussive symptoms (>4 weeks), are currently asymptomatic and have fully transitioned back to school. Participants will be recruited from school boards in the south-eastern region of Ontario, Canada. Data is to be collected through in-person, semi-structured, one-on-one interviews in the participants’ school setting. Five to ten participants will be sought out and a follow-up session will take place for the participants to verify the findings based on the researcher’s analysis of the data. Expected Outcomes The research expects to provide insight on the lived experience of returning-to-school post-sport-related concussion, to inform what gaps needs to be prioritised in terms of future research, policy development and education of stakeholders. Specifically, the results are intended to highlight the needs of adolescent students who experience PPCS upon their RTS.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0010.000
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.285
Teacher spread0.264 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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