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Record W2204544794 · doi:10.22329/p.v7i1.3370

I Bury the Dead: Poe, Heidegger, and Morbid Literature

2012· article· en· W2204544794 on OpenAlexvenueno aff
Darren Lenard Hutchinson

Bibliographic record

VenuePhaenEx · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy, Ethics, and Existentialism
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryCounterpointLiteraturePhilosophyContent (measure theory)ArtAestheticsSociology

Abstract

fetched live from OpenAlex

This essay investigates the way in which dying and dead bodies resist poetic incorporation and the way in which such bodies can be fugitively attested to through fictive prose. It examines Heidegger's treatment of dead and dying bodies from Being and Time to his later work on poetry and language, and it offers as a counterpoint another mode of addressing these bodies found in the fiction of Poe. It also shows how even the poetry of Trakl, heralded by Heidegger as an exemplar of poetic address, can be fruitfully understood in prosaic terms, terms which more faithfully reveal both the content of his poetry itself as well as the true nature of the wounds of dying life.

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)0.005
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0160.092
Scholarly communication0.0100.011
Open science0.0010.007
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0040.001

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 head0.065
GPT teacher head0.277
Teacher spread0.212 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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