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Record W4239078971 · doi:10.4324/9780429465574

The Lucid Vigil

2019· book· en· W4239078971 on OpenAlexaboutno aff
Stella Gaon

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicIntelligence, Security, War Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsLucid dreamVigilGeographyMedicineTraditional medicineArchaeology

Abstract

fetched live from OpenAlex

Winner of the 2020 Symposium Book Award by the Canadian Society for Continental Philosophy Stella Gaon provides the first fully philosophical account of the critical nature of deconstruction, and she does so by turning in an original way to psychoanalysis. Drawing on close readings of Freud and Laplanche, Gaon argues that Derridean deconstruction is driven by a normative investment in reason’s psychological force. Indeed, deconstruction is more faithful to the principle of reason than the various forms of critical theory prevalent today. For if one pursues the classical demand for rational grounds vigilantly, one finds that claims to ethical or political legitimacy cannot be rationally justified, because they are undone by logical undecidability. Gaon’s argument is borne out in the cases of Kantian deontology, Deweyan pragmatism, progressive pedagogy, Habermasian moral theory, Levinasian ethics and others. What emerges is the groundbreaking demonstration that deconstruction is impelled by a quasi-ethical critical drive, and that to read deconstructively is to radicalize the emancipatory practice of reason as self-critique. This important volume will be of great value to critical theorists as well as to Derrida scholars and researchers in social and political thought.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.145
Threshold uncertainty score0.391

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0050.002
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.1170.041

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 head0.024
GPT teacher head0.315
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations7
Published2019
Admission routes1
Has abstractyes

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Same topicIntelligence, Security, War StrategyFrench-language works237,207