Bibliographic record
Abstract
On the 50th anniversary of the ISSA and IRSS, a scholar central to the understanding of deviance and violence in sport, Kevin Young, considers the trajectory, challenges and future for research on sport violence. He notes that the sociology of sports violence has been surprisingly limited in its scope, with focus often on football hooliganism and ice hockey tactics. In considering the challenges of sport-related violence, Young notes confounding issues of access and candor in reporting, and interrogates Berger’s notion of ‘ways of seeing’ to provoke new lenses for approaching and understanding the cultures and contexts of violence in sport. In addition, it is argued that using an approach that combines criminology, social justice and community health concerns is crucial to sociological inquiry. The essay closes with key arguments for the study of sport-related violence to ‘open the lens’ by looking beyond the ‘predictable crucibles’ of the UK and North America to examine the permutations of culturally embedded violence that link to sport across the globe.
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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.008 | 0.053 |
| Scholarly communication | 0.013 | 0.019 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".