A contextual analysis of law and the "state of exception": Spatialization of emotions and engulfed apathy
Bibliographic record
Abstract
In the context of the American War on Terror, the focus of this eclectic text is to traverse between the past and the present and vice versa to argue that law is hegemony, which in the state of exception, transmutes itself into sheer force. Law with its promises of universality, objectivity and impartiality does not lead to a peaceful and sustainable future mindful of diversity and plurality of our common world and the Mother Earth. Law is bound by violence and the sovereign’s decision, as well as the complex web of significance that are not meant to protect all in the house of modernity which has predominately relegated emotions to the private realm. However, as Walter Benjamin argues, the state of exception has become the rule and as Giorgio Agamben maintains, a paradigm of government in liberal democratic states. Spaces of exception and exclusion, like Guantanamo Bay Detention Camp (GTMO) testify to how the state of exception has showed the true face of the sovereign in excluding “the other” from the Western juridical field. In other words, GTMO is the epitome of engulfed apathy, and a violent space, where in the name of security and democracy, a 15-year-old Omar Khadr, a Canadian citizen by birth, was held captive and was tortured. The American War on Terror has undermined the democratic principles of liberty, equality and justice for all, heading towards world alienation. This text draws on the literature of Hannah Arendt and espouses her calls for political participation as a way to undermine the violence of the sovereign
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".