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Record W4243088725 · doi:10.3138/ecf.24.2.279

Devotional Reading and Novel Form: The Case of <i>David Simple</i>

2011· article· en· W4243088725 on OpenAlexvenueno aff
Tera Pettella

Bibliographic record

VenueEighteenth-Century Fiction · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)DivinityPopularitySimple (philosophy)AdventureNoveltyLiteratureDutyHistoryAestheticsArtLinguisticsPhilosophyPsychologyTheologyEpistemologyArt history

Abstract

fetched live from OpenAlex

Although the novel as a form gained popularity throughout the eighteenth century, devotional texts such as the Bible, printed sermons, and books of practical divinity, including The Whole Duty of Man, continued to dominate the print market. These devotional texts establish and foster discontinuous, repetitive, and emblematic reading practices. The form of devotional texts and religious reading practices is essential to a more satisfying description of the formal development of the novel, most notably episodic, sentimental novels like Sarah Fielding's The Adventures of David Simple. The complex relationship between devotional and secular texts involved authors borrowing and adapting forms from devotional texts, while readers adapted their own devotional reading practices to secular texts. The force and visibility of the novel in the eighteenth century resulted more from the novel form's familiarity than its novelty.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0180.023
Scholarly communication0.0090.005
Open science0.0010.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.046
GPT teacher head0.223
Teacher spread0.178 · 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 designQualitative
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

Citations12
Published2011
Admission routes1
Has abstractyes

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