My Animal Self: The Importance of Preserving Fantasy-Themed Identity Uniqueness
Bibliographic record
Abstract
Furries are fans of anthropomorphic art and media. A unique component of the fandom is the creation of individualized fursonas – anthropomorphic animal-themed identities to represent oneself. In the present research, we examined the effects of experiencing a threat to one’s fandom-themed fantasy identity (fursona) or to oneself. Furries read about another person copying (vs. not copying) one’s fursona (vs. public identity) prior to completing measures related to copycatting. In line with past research, when copied (vs. not), furries expressed anger, rated the situation as harmful and illegitimate, and viewed the other person unfavorably. Additionally, when copied, furries experienced more anger, perceived illegitimacy, and felt a greater threat to their freedom to display a unique identity when their fursona was copied than when their non-fan identity characteristics were copied. Together, the results point to the importance of furries’ fursonas to their sense of self.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".