Influence of personality on music-genre exclusivity
Bibliographic record
Abstract
Studies reveal consistent relationships between personality and preferred musical genre. This article explores these relationships using a novel methodology: genre dispersion among people’s mobile-phone music collections. By analyzing the download behavior of genre-based user subgroups, we investigated the following questions: (1) do genre-based subgroups exhibit different levels of genre exclusivity; and (2) does genre exclusivity relate to Big Five personality factors? We hypothesized that genre-based subgroups would vary in genre exclusivity, and that their degree of exclusivity would be associated with the personality factor of openness (if people have open personalities, they should be open to different musical styles). Consistent with our hypothesis, results showed that greater genre inclusivity, that is, many genres in people’s music collections, positively correlated with openness and (unexpectedly) agreeableness, suggesting that individuals with high openness and agreeableness have wider musical tastes than those with low openness and agreeableness. By demonstrating an association between personality and patterns of music consumption, this research serves to corroborate previous work linking genre preference and personality. The practical implications of this research may be useful in the implementation of music-recommendation systems.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".