Social Media as an Outlet for Community Response and Dialogue Following the 2011 Vancouver Stanley Cup Riot
Bibliographic record
Abstract
The 2011 Vancouver Stanley Cup riot (VSCR)—one of the most significant sports-related public disorder events to occur in Vancouver in recent decades—was the first sporting riot in North America that was characterised by the use of social media (McCann, 2011). Given this significant influence, this research uses qualitative content analysis to explore how persons posting on Facebook pages dedicated to the VSCR in the six months following constructed the meaning of the event and its participants. Using the insights of social identity theory, the findings suggest that online discussions of this event centred on an understanding of communities and community membership which was reflected in individuals’ attempts to reassert specific community identities as “law abiding” and “peaceful”, primarily accomplished through the identification, othering, and derogation of riot participants. The findings further suggest that the VSCR was constructed as damaging to the reputations of particular communities and their members resulting in the need for community repair, while its participants were constructed as deviant and threatening “others” who were deserving of punishment, vengeful conduct, and strict police treatment.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.008 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".