Persisting with a music career despite the insecurity: When social and motivational resources really matter
Bibliographic record
Abstract
Drawing on conservation of resources theory and self-determination theory, coworker support and work motivation were investigated as resources that should buffer or mitigate the negative consequences of career insecurity for professional musicians. We surveyed 200 professional musicians. Analyses revealed that only those musicians with low career insecurity and better-quality motivation (i.e., either high autonomous or low controlled) were less prone to problem drinking. Importantly, the combination of high coworker support and high autonomous motivation was associated with less emotional exhaustion from career insecurity. These resources were not simply stress-buffers of career insecurity, but helped well-resourced musicians thrive on career insecurity. Additionally, it was found that career insecurity was associated with greater intentions to leave the profession for all musicians, except for those with high controlled motivation when they also had access to high coworker support. For these musicians, having access to supportive coworkers was important for persisting with their music career despite the insecurity.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".