Absorption relates to individual differences in visual face pareidolia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Visual face pareidolia is the experience of perceiving illusory faces in inanimate objects (e.g., rocks, buildings, appliances); however, the individual differences that relate to these pareidolia experiences remain unclear. The present set of studies assessed individual differences in face pareidolia, with a particular emphasis on personality factors previously associated with changes in perceptual experiences (openness and absorption). Study 1 measured face pareidolia in two novel ways: an implicit, speeded visual categorization task, and a self-report measure. Study 2 measured face pareidolia using more explicit categorization tasks and a slightly modified version of the self-report measure from Study 1. Across both studies, we also measured the Big Five personality dimensions, absorption, and a performance-based measure of divergent association formation, a proxy for creativity. We found that absorption was positively associated with individual differences in face pareidolia. The association between absorption and face pareidolia remained significant when controlling for factors that also positively correlated with absorption (openness, extraversion, and positive mood). Taken together, these results suggest that individual differences in face pareidolia experiences are consistently associated with absorption, which represents an especially promising construct to investigate in future pareidolia research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 it