We are the champions, but how do we respond? Savoring and dampening in response to championship victories among passionate sports fans
Bibliographic record
Abstract
Our aim in this research was to test if the ways passionate sports fans respond immediately after an important team victory depend on the extent to which passion is harmonious or obsessive. Fans of Liverpool F.C. (n = 299) and the Winnipeg Blue Bombers (n = 334) completed online surveys shortly after their teams had won an important championship game. Fans answered questions assessing passion and the extent to which they engaged in savoring (i.e., attempting to maintain, augment, or prolong positive emotions) and dampening (i.e., attempting to stifle positive emotions) following the victory. In both samples, we found that both harmonious and obsessive passion predicted greater savoring, but only obsessive passion predicted greater dampening. These findings build on previous research and suggest an additional reason for why harmonious and obsessive passion among sports fans tend to predict more and less adaptive outcomes, respectively.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".