‘Get out of my fandom, newbie’: A cross-fandom study of elitism and gatekeeping in fans
Bibliographic record
Abstract
In the present article we discuss three studies aimed at better understanding elitism in the context of fan groups. The studies assess different facets of elitism, predictors of elitism and the potential outcomes associated with holding elitist beliefs. The survey studies were conducted on members of three distinct fan groups: furries (fans of media featuring anthropomorphized animal characters), bronies (adult fans of the television series My Little Pony ) and anime fans (fans of Japanese animation). Elitism was found to include both self-inflation and other-derogation and is predicted by two components of fan identity (fanship and fandom). Elitism was also significantly associated with pro-gatekeeping attitudes and behaviours. Practical and theoretical implications for fan culture are discussed. We also discuss the limitations of the studies and their ability to contribute to a discussion about creating inclusive fan spaces.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".