Losses of Humanity in Times of War: The Actions of Alternative Subjects of Justice
Bibliographic record
Abstract
This article discusses loss of humanity due to violence in Ciudad Juarez (2008–2014) and the actions of alternative subjects of justice – the organized civil society – seeking to address it. This paper resonates with theoretical currents of feminism and humanism, both of which have created a critical apparatus for thinking about social inequality in the context of life, death, and injustice. The discussion draws on the theoretical concepts of discourse societies, necropolitics, private government and actions. With this theoretical structure, the paper seeks to understand the political actions of eight civil society organizations aiming to recover the right to the body, to space and to be a political subject for a community shattered by violence. The paper argues that, through these actions, they helped to prevent crime, enhance public safety and stabilise a society suffering from continued violence due in large part to the war on drugs.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.082 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".