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Record W4319953697 · doi:10.3366/cfs.2023.0082

Woolrich: Toward a Minor Literature

2023· article· en· W4319953697 on OpenAlexaff
Nicholas Sammond

Bibliographic record

VenueCrime Fiction Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAnxietyRegretNormativeAudience measurementMinor (academic)SociologyMiddle classFirst world warPsychologyPsychoanalysisAestheticsLawArtPolitical sciencePsychiatryHumanities

Abstract

fetched live from OpenAlex

In 1937 Harold Hersey pointed out in Pulp Editor that pulps had two components, tawdry tales of crime and horror (and westerns) and advertising for magical cures for human frailty and inadequacy – ‘parallel lines spoken by two sets of people with but a single thought’. Both played to anxiety, and it is that anxiety that concerns this essay. Speaking to a primarily working-class readership, this anxiety is distinct from that inspired by upward mobility in a middle class that survived the Depression and was saved from impoverishment by the war – an anxious imperative to have and to be more. Ads in the pulps targeted a working class positioned as both under-educated and de-skilled in the rapidly rationalizing economies of the Depression and World War II. Building on Deleuze and Guattari's notion of a minor literature as a deflection from the majority position, this essay argues for reading the pulps – stories with lurid covers in both magazines and in books – as a distinct expression of a minority exception to the increased regulation of daily life, and to the normative requirements of upward mobility. Woolrich was, more often than not, the author of despair, of regret, and of futility – of pathology as objection.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.609
Threshold uncertainty score1.000

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)0.0010.001

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 head0.170
GPT teacher head0.336
Teacher spread0.165 · 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.

Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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