What is a Worker? Framing People in the Informal Economy as Part of the Trade Union Constituency in Kenya and Tanzania
Bibliographic record
Abstract
This article investigates the ongoing efforts of trade unions in Kenya and Tanzania to enlarge their constituency by reconceptualising the notion of workers to include people in the informal economy. How this process plays out is of immense importance as it challenges established understandings of who a worker is; this in turn poses very difficult questions about rights, representation and the distribution of power both internally in the union movements and in society at large. Based on original interview data, the article unpacks this highly contested and politicised process. The article shows how union efforts reflect different ways of tackling the need to constitute people working informally as workers and union members in order to increase the social base, and thereby increase political clout. However, these processes are juxtaposed with the urge to maintain traditional boundaries and protect established privileges and power structures, both internally in the unions and externally in the fragile compromise inscribed in the existing tripartite structures. KEYWORDS: informal workers; informal economy; trade unions; Kenya; Tanzania
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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 | 0.002 | 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 | 0.013 | 0.010 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".