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Record W2912580910 · doi:10.1249/jsr.0000000000000557

Proceedings from the Ice Hockey Summit III: Action on Concussion

2019· article· en· W2912580910 on OpenAlexaff
Aynsley M. Smith, Patrick A. Alford, Mark Aubry, Brian W. Benson, Amanda M. Black, Alison Brooks, Charles J. Burke, Ryan C.N. D’Arcy, David W. Dodick, Michael Eaves, Chad Eickhoff, Kristen Erredge, Kyle Farrell, Jonathon Finnoff, Douglas D. Fraser, Christopher C. Giza, Richard M. Greenwald, Blaine Hoshizaki, John Huston, Janelle Jorgensen, Michael J. Joyner, David A. Krause, Nicole M. LaVoi, Matthew Leaf, John J. Leddy, Kevin Margarucci, Susan S. Margulies, Jason P. Mihalik, Thayne A. Munce, Anna Oeur, Cara C. Prideaux, William O. Roberts, Francis X. Shen, David Soma, Mark Tabrum, Michael Stuart, Jennifer V. Wethe, James R. Whitehead, Diane M. Wiese‐Bjornstal, Michael J. Stuart

Bibliographic record

VenueCurrent Sports Medicine Reports · 2019
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsOntario Neurotrauma FoundationUniversity of OttawaWestern UniversitySimon Fraser UniversityImpactUniversity of Calgary
Fundersnot available
KeywordsIce hockeyConcussionSummitAction planLeagueMedicineMandateAction (physics)Sports medicinePoison controlPhysical therapyMedical educationInjury preventionMedical emergencyPhysical medicine and rehabilitationPolitical scienceManagement

Abstract

fetched live from OpenAlex

The Ice Hockey Summit III provided updated scientific evidence on concussions in hockey to inform these five objectives: 1) describe sport-related concussion (SRC) epidemiology, 2) classify prevention strategies, 3) define objective, diagnostic tests, 4) identify treatment, and 5) integrate science and clinical care into prioritized action plans and policy. Our action plan evolved from 40 scientific presentations. The 155 attendees (physicians, athletic trainers, physical therapists, nurses, neuropsychologists, scientists, engineers, coaches, and officials) voted to prioritize these action items in the final Summit session. 1) Establish a national and international hockey data base for SRC at all levels, 2) eliminate body checking in Bantam youth hockey games, 3) expand a behavior modification program (Fair Play) to all youth hockey levels, 4) enforce game ejection penalties for fighting in Junior A and professional hockey leagues, 5) establish objective tests to diagnose concussion at point of care (POC), and 6) mandate baseline testing to improve concussion diagnosis for all age groups. Expedient implementation of the Summit III prioritized action items is necessary to reduce the risk, severity, and consequences of concussion in the sport of ice hockey.

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 categoriesInsufficient 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 score0.147
Threshold uncertainty score0.997

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.090
GPT teacher head0.380
Teacher spread0.290 · 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

Citations18
Published2019
Admission routes1
Has abstractyes

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