Bibliographic record
Abstract
1 (2011): 32-40.[P]olitics secretly works towards the production of emergencies….Giorgio Agamben "On Security and Terror"We live in a state of economic emergency, bearing witness to an ever emerging war.Yet, politics does not simply react to emergencies, it produces them.In a time of grotesque violence and abhorrent apathy we must resist the urge only to react and fight for some semblance of politics.We must fight for emergency.Omar Khadr was arrested at the age of 15 by the U.S military and has remained in custody in Guantanamo for 8 years.Today, he plead guilty to five war crime charges.Despite stating in open court last summer that he would not plead guilty, today he muttered a confession.In accordance with the plea bargain, Khadr plead guilty to murder, attempted murder, conspiracy, providing material support to terrorists, and spying.Following this, a jury imposed the harshest possible sentence, 40 years imprisonment.Khadr may receive parole after eight years.The first year of this sentence will be served in Gauntanamo, following which he may be repatriated.The government of Canada does not have to repatriate Khadr, nor is parole guaranteed.Rather than hypothesizing outcomes, I want to discuss the case philosophically.This is a piece about war, politics, and capitalism.These are things we participate in daily, often with a cynical shrug.In this piece I critique positions that posit the Khadr case as a problem of "human rights" and insist that we must approach the case politically.
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 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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.028 | 0.007 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.045 | 0.010 |
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".