When passion leads to excellence: the case of musicians
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
This article investigates the relationship between passion and the attainment of an elite level of performance within a population of expert musicians. Furthermore, the mediational role of performance goals and deliberate practice between passion and performance is also explored. Results of the path analysis showed that harmonious passion predicted the use of mastery goals, which in turn predicted the use of deliberate practice and a higher level of performance. On the other hand, obsessive passion positively predicted approach and avoidance goals with both having a direct negative impact on performance attainment. Consistent with previous research on passion, results also showed that harmonious, but not obsessive passion, was a positive predictor of subjective well-being. These results suggest the existence of two different pathways linking passion and elite performance, the harmonious passion path being the most adaptive.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 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