Understanding Fantasy and Adult Doll Play Through Regression in Service of the Self
Bibliographic record
Abstract
This study explored doll play activities involving adult doll collectors, and students who participated in an experimental story creation task which incorporated dolls/toy images and urban/landscape settings. It was expected that a secure versus insecure sense of self would perform a mediating role. The study involved two data collections: Online and Laboratory. Both phases used a 10 item questionnaire regarding participant’s sense of self. The online phase measured attitudes about fantasy and play, along with creative aspects of the doll hobby by adult collectors. The laboratory phase sought to determine whether doll play activity involving undergraduate students could be simulated in a laboratory setting. We found that in both samples, a positive correlation was found between insecure sense of self and fantasy proneness. This indicates that adult collectors and to an extent undergraduates may utilize fantasy (e.g., world building) and doll play as an act of defensive regression to resolve internal conflicts. Subsequently, a negative correlation between planning the doll aesthetic and fantasy proneness was found in the adult collectors’ sample, which may indicate regression in service of the 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 | 0.001 | 0.005 |
| 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 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".