Identity Under Construction: Workers’ Collective in an Argentine Metallurgical Factory
Bibliographic record
Abstract
In the 1970s, Argentina lived moments of great effervescence and labour conflict. The Santa Rosa metallurgical factory, located in the suburbs of Buenos Aires, became a centre of workers' struggle and resistance not only against the management and the state but also against certain union practices. From this factory, a union recovery movement was promoted that, in constant dialogue with the neighborhood and other factories in the area, disputed not only the leadership of the regional union but also the meaning of the union organization and of being a worker and a Peronist. In this article, I propose to analyze the process of construction of this workers’ collective that emerged from the experience at the workplace. To understand the factory not just as a space but also as a process, as a social construction of a relational type allow us to see the determinations that this space exercises over the construction of the workers’ collective, reflecting forms of belonging and solidarity among the members of this collective that are more than just the sum of individualities. I will analyze this process of construction of the workers’ collective studying two specific conflicts that these workers carried out during the decade. We will observe how the factory space determined the constitution of an original working culture in constant dialogue with the trade union organization and with the other actors of the environment, focusing on the different responses that this collective of workers gave in different socio-political contexts.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.039 | 0.020 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| 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".