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Record W3011281180 · doi:10.3138/ecf.32.3.427

Plebeianizing the Female Soldier: Radical Liberty and <i>The Life and Adventures of Mrs. Christian Davies</i>

2020· article· en· W3011281180 on OpenAlexvenueno aff
Fraser Easton

Bibliographic record

VenueEighteenth-Century Fiction · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAdventureNarrativeDepictionIdentity (music)BiographyHuman sexualityHistoryLiteratureSAINTRepresentation (politics)ArtGender studiesArt historySociologyAestheticsLawPolitics

Abstract

fetched live from OpenAlex

This article examines the work-related dimensions of The Life and Adventures of Mrs. Christian Davies (1740). A rollicking account of a plebeian female soldier, the Life is a key document for the history of eighteenth-century working women and their representation in narrative. By portraying both the industriousness and the radical liberty associated with the lower-class milieu of real-life female soldiers, Davies’s narrative challenges the depiction of plebeian identity in numerous early eighteenth-century fictions of low-born women, whether picaresque like Daniel Defoe’s Moll Flanders or sentimental like Samuel Richardson’s Pamela. Drawing on genres such as jest-books, criminal biography, and amatory fiction to break with heroic images of well-born women warriors (including those in popular ballads), it voices a resistant outlook on the regulation of women’s labour and sexuality. And, with a social perspective springing as much from class status as sexual identity, Davies’s Life marks a literary epoch in which female soldiering is plebeianized in plays and novels as diverse as John Gay’s Polly and Tobias Smollett’s Ferdinand Count Fathom.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.006
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.022
GPT teacher head0.193
Teacher spread0.171 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueEighteenth-Century FictionSame topicHistorical Economic and Social StudiesFrench-language works237,207