Misclassification, Tipping and the Responsibilisation of Work in the Global South
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
Workers are increasingly expected to take on responsibilities for those aspects of their wellbeing that were historically attended to by their employers – an unsettling trend that has been termed ‘responsibilisation’. While this phenomenon is manifesting across the globe and poses significant implications for both employers and employees, the effects of responsibilisation are perhaps most detrimentally felt by workers in the Global South, where there are relatively less robust systems of social welfare and fewer institutional protections available compared with the Global North. Two understudied mechanisms through which businesses enable responsibilisation are misclassification and tipping. Drawing on Ernesto’s reflexive narrative as a cerillo – a worker who bags groceries on a ‘voluntary’ basis for customers in a Mexico City supermarket – this article explores how businesses exploit these mechanisms for the purpose of absolving themselves of the responsibilities that they would otherwise have towards those classified as employees. Most troublingly, businesses achieve this absolution while, at the same time, exerting the type of organisational control over cerillos’ working lives that would be typically reflected in a contractual employer–employee relationship.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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