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Record W7097189843

Presented to the Canadian Political Science Association

2008· article· en· W7097189843 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicTorture, Ethics, and Law
Canadian institutionsnot available
Fundersnot available
KeywordsTortureState of exceptionHuman rightsState (computer science)ConstitutionSovereigntyCovertPoliticsRelation (database)Rule of law
DOInot available

Abstract

fetched live from OpenAlex

Abstract: The post 9/11 move by democracies to enact security measures which challenge both domestic constitutional and international legal human rights norms, such as the creation of the Guantánamo Bay prison camp, the practice of extraordinary rendition, and the use of torture in interrogations has resulted in growing scholarly concern with the problem of states of exception. These measures, whether considered justified or not, are conceptualized by some theorists as belonging to a temporal condition associated with war time emergency. Other more critical scholars, in contrast, examine exceptions in their relation to the constitution of sovereign power. In exploring these contending analytical perspectives, my paper aims to better understand the character of contemporary exceptionalism. Using American intelligence agencies in both the pre and post 9/11 period as a case study, I explore the extent to which covert and clandestine state security practices have ever been constrained by a substantive conception of the rule of law and human rights. I ask how exceptional the current state of exception really is. In doing so, I find that norms of exception are a part of ordinary state security practice, but that an excessive focus on sovereign decision and legal black holes obscures the ambiguities of Bush administration policy. Despite the extremely troubling nature of the war on terror, I conclude there is hope for societal contestation and the rule of law as checks on human rights abuses.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.936
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.056
GPT teacher head0.348
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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