Using Identity Work Theory to Understand the De-Escalation of Fandom: A Study of Former Fans of National Hockey League Teams
Bibliographic record
Abstract
A de-escalation of team fandom model was created based on identity work theory. To both test the model and understand how once highly identified fans of sports teams could eventually become non-fans, 23 former fans of National Hockey League (NHL) teams were interviewed. The reasons given for their de-escalation in fandom can be categorized into seven themes: sport in general, the sport of hockey, the league, the team, individual players, media, and life. For those fans who remain fans of the sport, watching national teams play in international competition has been a common practice in the years since the bond with their former favorite NHL team was severed. While only a minority of participants believes it realistically possible they could ever become NHL team fans again in the future, some suggested their children or grandchildren might pull them back into fandom.
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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 | 0.006 | 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".