Serene Arts: The Effect of Personal Unsettledness and of Paintings' Narrative Structure on Personality
Bibliographic record
Abstract
Previous research has demonstrated that art can produce some variation in self-reported personality traits. The present experiment addressed two questions. First, does visual art cause greater fluctuations in personality for unsettled or serene individuals, and second, do unsettled individuals respond more to art as a function of its narrative structure? Participants ( N = 61) completed a set of questionnaires, then viewed a series of paintings, Giotto's Seven Vices, either unmodified to exhibit high narrative structure, or modified to exhibit low narrative structure, and then filled another set of questionnaires. The results show that unsettled individuals experienced significantly less fluctuation of personality across conditions, and that in the condition of low narrative coherence, serene individuals experienced significantly more personality fluctuations than unsettled individuals. The results suggest that unsettled persons may need more narrative coherence in the art they engage with, while serene individuals may remain open to less-structured and more ambiguous art.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".