Bibliographic record
Abstract
Traduzido por Bruno CardosoEste artigo aborda os modos de ação pública de um crescente militarismo em nossos dias e questiona a ameaça por ele representada para a cidadania, em contraposição com o Estado e as instituições. Disseminado graças ao controle das representações e das tecnologias de segurança, o militarismo acaba incorporado pela sociedade, fragmentando-a e pondo em risco o pensamento ultrapolítico. A democracia, apenas possível por meio deste, deve, assim, empreender, através da revisão das concepções de liberdade, igualdade e fraternidade, a reforma da justiça, hoje militarizada, e a incorporação de valores como o perdão e a hospitalidade incondicionais. The article The Militarisation of Justice and Defence of Democracy addresses the current modes of public action of increasing militarism and questionsthe threat this represents to citizenship, counterposed to the State and institutions. The control of security technologies and representations has led to the spread of militarism, which has been incorporated into society, fragmenting it and placing ultrapolitical thought at risk. Democracy, only possible through suchthought, must therefore revise the concepts of liberty, equality and fraternity in order to reform the currently militarised justice system and incorporate values such as unconditional forgiveness and hospitality.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.025 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".