FIMS Position Statement In-Line Skating
Bibliographic record
Abstract
The number of people participating in in-line skating in Canada and the United States exceeds 24 million. [12] In 1995 over 100,000 skaters sustained injuries requiring emergency room care. [12] While fractures of the distal radius are the most common ranging in frequency from 25 % to 75%, [3,7,9,10,12] a 2%-12.8 % incidence of head injuries [1,6,7,10] as well as the occurrence of severe lower extremity injuries [3,8] has been reported. A study of 61 children who fell while in-line skating reported that 1 in 8 sustained a fracture during the first attempt at the sport. [9] It is becoming increasingly evident that an appreciable proportion of in-line skating injuries are in fact severe. In a comparison of data obtained from the Canadian Hospital Injury Reporting and
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.016 | 0.005 |
| Insufficient payload (model declined to judge) | 0.180 | 0.111 |
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 source (direct Gemma or distilled Codex), 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".