Inundaciones y acción colectiva para la reapropiación de un territorio disputado por el extractivismo urbano-rural en Lujan, provincia de Buenos Aires (2012-2015)
Bibliographic record
Abstract
From an interdisciplinary perspective, we reflect on the scope of extractivism based on an experience of territorial and class struggle in the context of the 2012 floods in Luján (Buenos Aires Province). These floods are considered a turning point in collective action, which gave rise to much debate about their causes directly involving the State. Different social actors participated actively in the discussion, elaboration and definition of key elements of territorial management, such as the current demand for enactment of a minimum-budget law that regulates the use and appropriation of wetlands, and access to decent housing and land, among others.We analyze different organizational experiences on the part of the affected population, with the purpose of identifying territorial boundaries of the collective process ever since the floods. This article is the result of collaboration between postgraduate thesis research and the systematic and planned territorial work the authors carried out during the floods between 2012 and 2015. In an exploratory - descriptive way, using participant observation as a research technique, we intend to give an account of the organization process in a territory disputed by the advance of urban and rural extractivism. In the initial section of the article we delve into the main conceptual framework according to which the processes are analyzed. In the following section, we define wetlands in general and in particular the one of the Luján river basin and describe its working, in order to be able to focus on the way in which floods affect the territory of Luján. On this basis, we proceed to analyse the social processes which are the subject of this reflection, so as to identify their territorial boundaries. In the last section we share some final considerations. usechatgpt init success
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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 | 0.004 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".