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Record W2765144131 · doi:10.2217/cnc-2017-0009

Academic outcomes and accommodations following adolescent sport-related concussion: a pilot study

2017· article· en· W2765144131 on OpenAlexaff
Kelly Russell, Erin Selci, Stephanie Chu, Adrian Rozbacher, Michael J. Ellis

Bibliographic record

VenueConcussion · 2017
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsManitoba Harm Reduction NetworkChildren’s Health Research InstituteUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
Fundersnot available
KeywordsConcussionInterquartile rangeMedicinePhysical therapyAbsenteeismRivermead post-concussion symptoms questionnairePsychologyClinical psychologyInjury preventionPoison controlEmergency medicineRehabilitationInternal medicine

Abstract

fetched live from OpenAlex

AIM: The purpose of this study was to examine academic achievement, absenteeism and school accommodations following adolescent sport-related concussion (SRC). METHODS: A case-series was conducted among grade 8-12 students who suffered an SRC. The primary outcomes were change in pre- and post-concussion overall, core report card grade point average (GPA) and absenteeism due to concussion. The most helpful school accommodations were tabulated. RESULTS: Pre- and post-concussion GPA was obtained from 33 students - 16 (48%) developed persistent post-concussion symptoms (symptoms lasting >4 weeks). There was no significant difference in pre- and post-concussion grades among students with a SRC for overall (p = 0.75) or core (p = 0.56) GPA. The median number of missed school days was 4 (interquartile range [IQR]: 2-8). Allowing for physical and cognitive rest was identified as the most helpful accommodation (30%). CONCLUSION: Larger studies should investigate the role that school accommodations and development of persistent post-concussion symptoms have on academic outcomes.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.129
GPT teacher head0.415
Teacher spread0.286 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations17
Published2017
Admission routes1
Has abstractyes

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