Comparison of nomenclature and classification systems of sport injuries in elected countries with Iran
Bibliographic record
Abstract
Today, sport injuries form considerable part of social events. Prevention and management of sport injuries necessitate the existence of a comprehensive system for recording and classification of data. The object of this research was study of specialized sport injuries classification system for modeling of national sport injury classification system. Methods: This descriptive-comparative study conducted in 2012 .The sport injuries classification systems in USA ,Canada, Australia and Iran were studied .Method for data gathering was checklist that completed with valid library and internet sources .Then, data analysis performed with comparative tables. Results: Results showed that developed countries were acted to existence of national sport injuries classification system. It adapted with international classification system of diseases and international classification of external causes of injuries .Iran lacks national sport injuries classification system. Conclusion: Designing and using of sport injuries national classification system will have important role in prevention and releasing of sport injuries in Iran. Designing of national sport injuries classification system using of developed countries experiences recommends.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".