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Record W7118161264 · doi:10.1177/26326663251335938

Unionization of incarcerated workers and collective censorship in Argentina

2025· article· en· W7118161264 on OpenAlexfundno aff
Ramiro Gual, Máximo Sozzo

Bibliographic record

VenueIncarceration · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPrisonConsolidation (business)Resistance (ecology)Context (archaeology)PoliticsOrder (exchange)

Abstract

fetched live from OpenAlex

This article seeks to describe the history of the Sindicato Único de Trabajadores Privados de la Libertad (SUTPLA), a unique experience of unionisation of incarcerated workers in federal prisons in Argentina. It examines its moments of emergence, consolidation and decline, drawing on extensive fieldwork conducted in the Federal Men’s Prison in the city of Buenos Aires, including observations, focus groups and interviews with prisoners, prison officials and external actors linked to this experience. First, the article explains how this initiative was possible, describing the practices of the incarcerated workers, but also of the external actors linked to the University of Buenos Aires’ programme of university education in prisons and the trade union movement, in the context of a favourable political climate linked to post-neoliberal governments. Second, it describes the consolidation of the SUTPLA, paying particular attention to its forms of collective organisation, struggle and resistance, how they were structured by the language of (prison and labour) law and its main effects. It then focuses on the decline of this experience and the conditions that help to understand it, both inside and outside federal prisons. In order to make sense of the style of collective organisation, struggle and resistance that SUTPLA incarnated, the article turns to the idea of ‘censorship’, originally introduced by Thomas Mathiesen, but mutating its original connection to an atomistic landscape. In this way, the use of the language of (labour and prison) law is highlighted as a defining feature that distinguishes it from other traditional forms of collective resistance and struggle by prisoners in Argentina and, more generally, in Latin America.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.316
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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