Bibliographic record
Abstract
This Major Research Project will examine two distinct fan cultures associated with the Toronto FC soccer team—The Red Patch Boys and U-Sector—and the ways in which individuals part of both fan cultures use social media, social networking, and online applications in order to communicate. Both fan cultures are prominent during each Toronto FC home game, but they also have a large online presence which enables fans to connect to one another regardless of their location. This virtual presence highlights the value of online applications and the power of fandom. Thematic discourse analysis was used in order to analyze the information collected through observations at Toronto FC home games and on both fan cultures’ official Twitter accounts, websites, and online forums. Through this analysis, the themes of hierarchy and Toronto FC related material became prominent. Since this MRP focuses solely on two fan cultures, The Red Patch Boys and U-Sector, it must be noted that these results may not be applicable to all fan communities. Further research must be conducted before the definite impact of new media applications on fan cultures can be concluded.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".