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Record W4387135918 · doi:10.3366/cfs.2023.0098

‘What's the story?’ Unravelling the Plot of Raymond Chandler's <i>The Big Sleep</i>

2023· article· en· W4387135918 on OpenAlexaff
Trevor Cook

Bibliographic record

VenueCrime Fiction Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicCrime and Detective Fiction Studies
Canadian institutionsConcordia University of Edmonton
Fundersnot available
KeywordsCriticismPlot (graphics)Detective fictionFantasyRomanceLiteratureRealismPhilosophyPsychoanalysisHermeneuticsArtPsychologyEpistemology

Abstract

fetched live from OpenAlex

Critics have long approached Raymond Chandler's The Big Sleep as a poorly plotted tale that requires rescuing not only from the teller but also from the text and the author who created it, which for Pierre Bayard is the proper function of ‘detective criticism.’ His hermeneutics of suspicion privileges absences that justify critical intervention. For Bayard, the critic's solution to a mystery is always superior to anything a fictional detective might offer. However, in the case of The Big Sleep, critics would do better to proceed like actual detectives and attend to the evidence presented in a criminal investigation, which for Chandler is the proper definition of ‘detective criticism.’ His first book was meant to move readers away from the fantasy of romance, wherein the detective models the practice of criticism, toward the realism of the novel, wherein critics must adopt the methods of a detective to unravel the plot.

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)0.004
metaresearch head score (Gemma)0.017
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: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0110.039
Scholarly communication0.0130.013
Open science0.0010.003
Research integrity0.0030.011
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 head0.167
GPT teacher head0.311
Teacher spread0.144 · 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
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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