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Edgar Allan Poe and His Enemies

2018· reference-entry· en· W2963061138 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldArts and Humanities
TopicCrime and Detective Fiction Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFriendshipUnconscious mindHatredInvectiveSociologyPublishingLawPsychologyPolitical scienceSocial sciencePsychoanalysis

Abstract

fetched live from OpenAlex

This chapter looks at the dozens of enemies Poe acquired in the course of his career. Instead of understanding these enemies as a phenomenon peculiar to Poe and his individual psychological state, the chapter argues that enemies were a kind of dark, unconscious side of the friendship culture that prevailed in the magazine industry in the early nineteenth-century United States. At a time when magazines depended for their content and profitability on the voluntary labor of unpaid contributors, friendship culture, in which friends volunteered to write for the periodicals of other friends, was crucial to the functioning of the magazine publishing economy. But hatred and rage were also productive energies, goading writers to write for free for magazines as easily as friendly indebtedness. Examining Poe’s rancorous relationships with his fellow authors, this article argues that Poe’s many enemies were part of a larger economy of violent invective and grudges that formed a companion to the culture of friendship.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.036
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.001

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 head0.264
Teacher spread0.199 · 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

Quick stats

Citations3
Published2018
Admission routes1
Has abstractyes

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