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Theology

2017· book· en· W4235445026 on OpenAlexaboutno aff
David Bebbington

Bibliographic record

VenueOxford University Press eBooks · 2017
Typebook
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsnot available
Fundersnot available
KeywordsPulpitSermonPrayerWorshipProtestantismRhetorical questionDissentClassicsHistoryReligious studiesSociologyArtMedia studiesTheologyLiteraturePolitical sciencePhilosophyLawPolitics

Abstract

fetched live from OpenAlex

This chapter examines the pulpit of Protestant Dissent in nineteenth-century Britain and North America. It focuses on a specific rhetorical genre: the lectures that seasoned ministers gave to young men just starting their careers. Texts considered include Charles Haddon Spurgeon’s Lectures to My Students; the Yale Lectures on Preaching by Henry Ward Beecher, R.W. Dale, and other prominent figures; and several discourses delivered before the Theological Union of Victoria University, in Toronto, Canada. Topics addressed in the chapter include the importance of pastoral visitation and prayer; suggestions for overseeing music, Scripture readings, and all other aspects of the worship service; the goals and purposes of preaching; and strategies and techniques for preparing and delivering sermons. The chapter concludes by suggesting avenues for further study. Promising topics might include comparing these lectures to other nineteenth- and twentieth-century discourses and examining sermon texts written not only by the lecturers themselves, but also by women, people of colour, and others not represented in this study.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.929
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.008
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0710.018

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 head0.041
GPT teacher head0.205
Teacher spread0.164 · 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.

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
Published2017
Admission routes1
Has abstractyes

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