Understanding Labour Turnover in a Labour Intensive Industry: Evidence from the British Clothing 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
ABSTRACT The clothing industry is both a quintessential global industry and one that is inescapably labour intensive. Despite more and more production shifting to low wage economies in the past decades, there remains a significant amount of clothing manufacturing in high wage economies. This study examines the drivers of change that are forcing restructuring in one such country and the outcomes of such changes for the organization of production. Because the changes have involved treating workers as a resource to be developed rather than a cost, preventing labour turnover has become a crucial component of this strategic repositioning. In presenting the results of a national survey of UK clothing manufacturers we find that high labour turnover rates persist. We discuss the historical background to this phenomenon and current trends, and then explore the principal variables that might explain these trends. We conclude with a discussion of the outcomes facing firms in this industry and comment on why managers resist comprehensive changes in organizational routines and the effort bargain.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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