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Record W2611980694

Mediation Through the Dead in White Noise and the Poetry of Robert Lowell

2017· article· en· W2611980694 on OpenAlexaff
Sam Krueger

Bibliographic record

VenueVerso: An Undergraduate Journal of Literary Criticism · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicContemporary Literature and Criticism
Canadian institutionsDalhousie University
Fundersnot available
KeywordsParallelsPoetryPostmodernismComicsConsciousnessWhite (mutation)LiteratureConfessionalTurning pointPhilosophyAestheticsPsychoanalysisHistoryArtSociologyLawEpistemologyPsychologyPolitical sciencePeriod (music)Politics
DOInot available

Abstract

fetched live from OpenAlex

“All plots tend to move deathward. This is the nature of plots,” muses Jack Gladney rather mysteriously at one point in White Noise. In his inspired and original essay, Sam Krueger takes Jack at his word, invoking the motif of death to argue convincingly that there are significant parallels between Don DeLillo’s novel and Robert Lowell’s 1964 volume, For the Union Dead. A late modernist confessional poet like Lowell and postmodern comic satirist like DeLillo might seem to make unlikely gravemates, but Krueger discovers some surprising affinities. Both Jack and Lowell are struggling with “the burden of their consciousness,” he argues, and for both, death plays an important role in that struggle. Throughout the novel, Jack is striving to find ways to overcome his fear of death; Lowell, more complexly, turns to a “union with dead writers [which] has the effect of sustaining life.” The paradoxical conclusion that both seem finally to come to is that, as Krueger nicely puts it, “a meaningful life means a meaningful death; the two are inextricably linked.” —Dr. David H. Evans

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 score0.266
Threshold uncertainty score0.767

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 studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.000
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 head0.020
GPT teacher head0.257
Teacher spread0.238 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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