From duping clients to institutional entrepreneurship in Mauritius: the account of a former BPO worker who became an activist
Bibliographic record
Abstract
This ‘on the front line’ account allows Shankar Veerta to voice out his concerns as an activist in Mauritius. Shankar’s account provides insights into the recent work of collective actors who, as institutional entrepreneurs, aim to bring social change in Mauritius and support vulnerable workers. Mauritius has achieved its heralded economic success by adjusting consistently to liberalized regimes of the global economy. As a former business process outsourcing (BPO) worker, however, Shankar casts a critical lens on challenges facing workers operating in the new BPO sector of Mauritius. He then explains how and why he joined a local political movement that supported non-unionized workers during major industrial disputes in the BPO sector in 2011. Finally, Shankar describes the movement’s attempts to initiate divergent change through enabling conditions that have allowed it to start raising awareness among Mauritian workers and citizens.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.012 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".