Effective Aggressiveness and Inconsistencies in the Bijuridical Treatment of Aggressive Behaviour: Mixed Martial Arts, Bullying, and Sociolegal Quandaries
Bibliographic record
Abstract
This paper seeks to address effective aggressiveness and the treatment of aggressive behaviour in the context of MMA in comparison to the balance of the formal Canadian legal landscape. I choose anti-bullying legislation, and its treatment of aggressive behaviour, as a counterexample to the treatment of aggressive behaviour within the MMA regulatory framework. By intertextually linking and superimposing these two categories of legislation, a critical lens drawing on institutional ethnography is applied. This is done to question and deconstruct the differential treatment of aggressive behaviour and the rationale behind the legislative mixed message sent. This lens also allows me to show the importance of a more thorough analysis and understanding of the imported internal frameworks of regulated activities that are candidates for decriminalization through amendments to Canada’s Criminal Code intended to ensure the Criminal Code is current to today’s reality. The quandary faced within the fabric of the MMA community regarding its own treatment of aggressive behaviour, where it is both reified as well as castigated through anti-bullying advocacy, will also be examined.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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".