Aesthetic capital as a work strategy among precarious migrant coaches in China’s leisure industry
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 explores how specific kinds of aesthetic capital enable urban-to-urban migrant workers to secure social mobility in the informal labour market of China’s leisure industry. Focusing on aesthetic capital accumulation and transference, it investigates how gym coaches, hip-hop dancers, and performers trade on their bodily assets and taste and seize opportunities to maximise capital when the fitness and leisure market creates occupational niches in metropolitan cities. It draws on ethnographic data from urban migrant coaches in the leisure industry in eastern and western cities in China. The findings reveal the dynamics of personal attributes, work strategies, and the increasing importance of aesthetic capital in the precarious economy. The findings enhance our understanding of how modern capitalism sustains interest in aesthetic and affective cycles.
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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 | 0.000 |
| 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 | 0.001 |
| 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