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Record W2131605668 · doi:10.1177/0263276410374633

Of Evil and Other Figures of the Liminal

2010· article· en· W2131605668 on OpenAlexaboutno aff
Leonhard Praeg

Bibliographic record

VenueTheory Culture & Society · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicHannah Arendt's Political Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsLiminalityPhilosophyUncannyEpistemologyMetaphysicsPolitical ponerologyPsychoanalysisAestheticsPsychology

Abstract

fetched live from OpenAlex

Inspired by research on the Rwanda genocide and the decapitation, in July 2008, of a passenger on a Canadian Greyhound bus, this occasional paper explores the shared agitation with which we may respond to two seemingly disparate instances of evil such as these. Arguing against discontinuous claims that distinguish between pre- and post-metaphysical conceptions of evil pivoting around the figure of Kant, the article identifies three logics suggestive of continuity in Western thought on evil: negativity, functionalism and the messianic. Focusing on the theme of negativity, the article argues that the essentially apophatic doctrine of the privation of evil is reconstituted in postmodern thinking as the liminal nature of evil. While acts of evil relate to what is both/either mathematically or qualitatively sublime (Kant), and while this experience may account for our agitation, we nonetheless employ figures like ‘hubris’, the ‘uncanny’ (Freud) and the ‘state of exception’ (Agamben) to traverse the liminal in order to interpret instances of human praxis which, given their liminal nature, will always remain brute fact. The article argues that these figures, in particular the temporal structure implicit in Freud’s account of the uncanny, can usefully be explored to account for the agitation with which we respond to instances of evil as diverse as the two that inspired this article.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.019
GPT teacher head0.303
Teacher spread0.285 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2010
Admission routes1
Has abstractyes

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