Corrosive Solo Self-Employment: The Qualitative and Quantitative Impact of Neo-Villeiny in the Fitness 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
Solo self-employment (SSE) is a heterogeneous category that requires further contextual analysis across different occupations and professions. Drawing on a multiple methods study, this article reveals the corrosive impact of a specific type of SSE, that of the self-employed personal trainer (SEPT) in the UK fitness industry. SEPTs pay rent in cash and in kind and carry out (unpaid) tasks that would otherwise be undertaken by contracted employees leading to a corrosive impact on employment. Despite a dramatic increase in gym membership in the UK between 2006 and 2021, Office for National Statistics data reveal a decrease in employment in both proximal fitness industry functions and for personal trainers, alongside an increase in self-employed fitness instructors of more than 400%. Our study shows that the nature of the work of this growing SEPT workforce has a direct and negative (corrosive) impact on those undertaking the work.
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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 | 0.000 |
| 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) | 0.000 | 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