Tackle characteristics associated with suspected concussion in female varsity rugby union: a case-control video analysis study
Bibliographic record
Abstract
The tackle is the most frequent and injurious event in rugby union. Tackle-related risk factors for concussion are identified in elite men, but may differ for women. The objective of this study was to evaluate the association between tackle characteristics and suspected concussion-related vs. non-injurious tackle events in Canadian female varsity rugby. Nacsport software was used to code 325 tackle events (46 suspected-concussion, 279 non-concussion). A penalised logistic regression with cluster-robust standard errors was used to estimate odds ratios (OR) [95% confidence intervals (95% CI)]. Ball-carrier concussion was associated with a head contact intensity of 2/4 (OR 6.5, 95% CI 1.3–31.6) and 3–4/4 (OR 48.5, 95% CI 12.1–193.7), illegal tackle (OR = 13.4, 95% CI 2.9–61.0), tap tackle (OR = 6.2, 95% CI 2.0–19.7), and down pre-contact head position (OR = 4.0, 95% CI 1.1–14.8). Tackler concussion was associated with 3 tacklers in the event (OR = 7.0, 95% CI 1.4–36.1), tap tackle (OR = 15.0, 95% CI 1.6–138.3), head contact intensity of 3–4/4 (OR = 30.6, 95% CI 5.6–168.1), and away pre-contact head position (OR = 3.0, 95% CI 1.1–7.8). Interventions aiming to reduce head impacts are needed in female rugby. Future directions should evaluate sex-related tackle characteristic differences.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".