MétaCan
Menu
Back to cohort
Record W3016327697 · doi:10.1519/ssc.0000000000000534

Injuries in Sprint Canoeists and Kayakers: Etiology, Mechanisms of Injury, Treatment Options, and Practical Applications

2020· article· en· W3016327697 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueStrength and conditioning journal · 2020
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsDalhousie University
Fundersnot available
KeywordsOvertrainingSprintPhysical therapyMedicinePhysical medicine and rehabilitationScapulaEtiologyAthletesSurgeryPathology

Abstract

fetched live from OpenAlex

ABSTRACT On-water and dry-land training programs for sprint canoeists and kayakers are physically demanding. Musculoskeletal injuries particularly to the shoulder, thoracic, and scapula regions are common. Overtraining can lead to muscle imbalances, glenohumeral and scapular kinematic dysfunctions, soft-tissue damage, and pain. Preventive programs are required. However, objective research-based evidence for sprint canoe- and kayak-specific preventive programming is lacking. This study will discuss common injuries sustained by paddlers, the mechanisms of these injuries, treatment and prevention approaches, and practical applications highlighting the need for coaches, clinicians, and strength and conditioning professionals to take a proactive approach in addressing high-risk injury factors. For a video abstract of this article, see Supplemental Digital Content 1, http://links.lww.com/SCJ/A275.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.273

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.015
GPT teacher head0.315
Teacher spread0.300 · 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