Study of the issue of excessive violence in competitive sports in the United States and Canada
Bibliographic record
Abstract
In recent years,with the booming of world competitive sports,the behaviors of excessive violence in competitive sports occurred from time to time,and their social hazardness is becoming perceivable.As a big nation of competitive sports,the United States and Canada have unique understanding about and experiences in determin-ing the nature of and penalties for excessive violence,their ways to deal with such behaviors include legislation,case law and league.Criminal prosecution of the behaviors of excessive violence in sports is feasible,but will en-counter substantial obstacles,which include conceptional obstacles and constitutional obstacles,in which the big-gest obstacle is the principle of consent.Consent as a ground for defense can effectively exclude criminal liabili-ties.In China,there is no unified standard for dealing with such behaviors.By referring to the experiences of the United States and Canada,the author proposed that China should make improvements gradually in 4 aspects,i.e.perfecting sport specific legislation,intensifying jurisdiction,promoting the autonomy of sports leagues,and strengthening the scientific study of competition rules.
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 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 | 0.000 | 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".