The Institutional Work of Exploitation: Employers’ Work to Create and Perpetuate Inequality
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 Social inequality is underpinned by exploitative labour institutions, yet the agency of employers in establishing and maintaining such institutions remains underexplored. We thus adopt the lens of institutional work in analysing South African mining employers’ purposive efforts to ensure reliable access to cheap labour from the 1860s through until the infamous Marikana Massacre in 2012. We find that while labour is scarce, employers engage in forcing : creating exploitative institutional devices through conscripting and controlling . But as labour becomes abundant (and political winds shift), employers engage in freeing : liberalizing institutional controls to give workers ‘choice’, while simultaneously outsourcing responsibilities and costs associated with the unjust employment relationship to others, including workers themselves. We thus explain how employers purposefully create and perpetuate their advantage in interaction with labour market dynamics, contributing to our understanding of inequality and the role of actors’ intentions in impacting social systems.
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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 | 0.000 |
| 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