The relationship between musical training and musical empathizing and systemizing traits
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
Although individual differences in engagement with and response to music are well documented, little is known about variations in musical empathizing and systemizing (E-S) traits and their relation to musical sophistication, including musical training. The current study examines the relationship between musical and general (non-musical) E-S traits and how musical sophistication and specific aspects of musical training are related to musical E-S traits. A total of 81 respondents reported on their level of musical sophistication and training (e.g., musical abilities, formal training, and engagement in musical activities) and endorsement of musical and general E-S traits. Participants were asked to complete the Goldsmiths Musical Sophistication Index (musical sophistication and training), the Empathizing and Systemizing quotients (general, non-musical E-S traits), and the Musical Empathizing and Systemizing inventory (musical E-S traits). Results suggest that general E-S traits are related to musical E-S traits and that musical sophistication, including but not limited to formal training, is positively associated with musical E-S traits. Furthermore, greater music training, as measured by the number of instruments played and years of formal instrumental and theory training, is related to greater endorsement of E-S traits. This study provides grounds for assessing the link between musical sophistication and training and musical E-S traits within clinical populations that have atypicalities in empathizing (e.g., autism spectrum disorder).
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| 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 it