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Record W3173756909 · doi:10.82308/29746

From providence to police: the development of the literary detective figure in the long eighteenth century

2014· article· en· W3173756909 on OpenAlexfundno aff
Joanne Holland-Barnes

Bibliographic record

VenueeScholarship@McGill (McGill) · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicCrime and Detective Fiction Studies
Canadian institutionsnot available
FundersMcGill University
KeywordsDetective fictionHistoryLiteratureArt

Abstract

fetched live from OpenAlex

This dissertation establishes a new chronology for the development of the detective figure in English literature. In opposition to the traditional view of detective literature as a nineteenth-century innovation, this study argues that the roots of the literary detective figure can instead be found considerably earlier, during the long eighteenth century (1688-1832). As rationalist scientific knowledge increased during the Enlightenment, people no longer believed that an omniscient providence directly intervened in human affairs to detect criminal activity. During this period, providentially motivated criminal texts of the early modern period were gradually replaced by human-driven detective narratives.The first chapter examines how popular works about two real-life criminals contributed to the growth of detective fiction. The thief-taker Jonathan Wild (1683-1725) was depicted as both a criminal and a successful investigator who maintained methodical records and managed a network of deputies. The dual nature of Wild as a criminal and a detective would influence the portrayal of the detective as a potentially untrustworthy figure throughout the century. The prolific body of texts on the trial of Elizabeth Canning (1734-1773) highlighted the problem of evidence in criminal trials: through their consumption of these chapbooks and pamphlets, readers trained themselves to analyze texts critically and to perform detailed literary investigations.The second chapter analyzes the activities of two early fictional investigative figures: Emily St. Aubert of Ann Radcliffe's The Mysteries of Udolpho (1794) and Caleb Williams of William Godwin's Things as They Are; or, The Adventures of Caleb Williams (1794). Both of these novels feature proto-detective figures who actively investigate by collecting evidence, piecing together clues, and drawing conclusions based on the facts they have gleaned through these detective activities.The third chapter details the emergence of two literary detectives who appeared in novels near the end of the long eighteenth century. The anonymously published Richmond; or, Scenes in the Life of a Bow Street Officer, Drawn Up from his Private Memoranda (1827) was the first English novel to feature a professional detective as the main character. Edward Bulwer-Lytton's Pelham; or, The Adventures of a Gentleman (1828) introduced the first aristocratic detective in English literature, thus adding respectability to counteract the roguish origins and criminal connections of the detective figure.The conclusion details how this collection of foundational eighteenth-century narratives influenced the development of the mystery novel genre in the nineteenth and twentieth centuries. It considers how these early texts affected the depiction of a variety of later prominent detective characters, including Raymond Chandler's Philip Marlowe, Arthur Conan Doyle's Sherlock Holmes, Dashiell Hammett's Sam Spade, Carolyn Keene's Nancy Drew, and Dorothy L. Sayers's Lord Peter Wimsey.

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)0.003
metaresearch head score (Gemma)0.005
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: none
Teacher disagreement score0.016
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.002
Science and technology studies0.0160.030
Scholarly communication0.0100.007
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.027
GPT teacher head0.238
Teacher spread0.211 · 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
Published2014
Admission routes1
Has abstractyes

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