Rethinking Working-class Politics: Organising Informal Workers in Argentina
Bibliographic record
Abstract
Our article engages with discussions about the implications of precarious work and its impact on workers’ capacity to organise by analysing the case of Argentina’s Confederation of Popular Economy Workers (CTEP, Confederación de Trabajadores de la Economía Popular). The organisation was created in 2011 with the aim of representing a broad and heterogeneous group of workers in varying conditions of informality, precarious self-employment and workfare programmes. We trace the history of the organisation and analyse its development by focusing on the role of social assistance as a crucial expression of the changing relations between precarious workers and the state. Social assistance has provided some resources for addressing the reproduction needs of precarious workers and of the territories in which they live, and also the material means through which an organisation like CTEP has sought to consolidate its political work among precarious workers. Nonetheless, social assistance has also worked as a means to circumscribe broader demands for change into issues to be addressed through social policy. Our argument is that central to CTEP’s trajectory as an organisation of precarious workers was its attempt to break away from the narrow confines of social assistance, pushing for changes that would allow its members to gain some autonomy both materially and institutionally. KEYWORDS: Argentina; precarious worker organisations; CTEP; social assistance policy
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.017 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".