Learning in Struggle: Argentina’s New Worker Cooperatives as Transformative Learning Organizations
Bibliographic record
Abstract
This article considers Argentina’s empresas recuperadas por sus trabajadores (worker-recuperated enterprises, or ERTs) as transformative learning organizations . ERTs are illustrative of how workers’ conversions of capitalist firms into worker cooperatives—especially conversions emerging from troubled firms and in moments of deep socio-economic crises—transform workers (from managed employees to self-managed workers), work organizations (from capitalist businesses to labour-managed firms), and communities (from depleted to revitalized and self-provisioning localities). Theoretically, the study is grounded in class-struggle, workplace learning, and social action learning approaches. These theoretical perspectives help the study work through how workplace conversions by workers, when converting troubled investor-owned or proprietary firms into worker coops, act as catalysts for contesting workplace exploitation and capitalist crises, while also beginning to move beyond them by forging new social relations of production and exchange. In the case of Argentina’s ERTs, crises in the political economy and micro-economic crises at the point of production during the collapse of the neoliberal model at the turn of the millennium heightened workers’ self-awareness of their situations of exploitation and motivated collective action. As a result, new worker cooperatives were created that also stimulated the social, cultural, and economic renewal of surrounding communities. The study’s research method relies on extended case studies of four diverse ERTs, which included ethnographic observation and in-depth interviews. Observations of daily workflows were conducted, as well as interviews and informal conversations with founding and newer ERT workers. In a more structured portion of the interview protocol, key-informants were asked to reflect on how they had personally changed after being involved in the ERT, and how production practices and involvement with the community had transformed in the process of conversion. The article concludes by outlining how worker, organizational, and community transformations emerge from workers’ processes of informal learning and learning in struggle as they collectively strive to overcome macro- and micro-economic crises and learn to become cooperators. This learning, the study shows, occurs in two ways: intra-cooperatively via informal workplace learning, and inter-cooperatively between workers from different ERTs and with surrounding communities. The self-management forged by ERTs thus embodies new, cooperative, and community-centered values and practices for these workers that, in turn, sketch out different possibilities for economic and productive life in Argentina.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 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".