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The Mist That Was Moody

2023· book-chapter· en· W4389745912 on OpenAlexaboutno aff
Donald Harman Akenson

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyQuarter (Canadian coin)ExceptionalismPeriod (music)HistoryArt historyLawTheologyReligious studiesPolitical sciencePhilosophyAestheticsArchaeologyPolitics

Abstract

fetched live from OpenAlex

Abstract This chapter adopts and expands David Bebbington’s view that revivalism in the last quarter of the nineteenth century was a transatlantic affair. This is especially important with Dwight L. Moody, who is built into the historiography of American evangelicalism as an example of American Exceptionalism. In fact, as documented here, in the years 1868–1872 he self-consciously acquired his theological education from Open Brethren in Dublin, notably at Merrion Hall. In the period 1872–1875, he engaged in an “experiment” in the United Kingdom. He learned the techniques of urban revivalism in the British Isles and these he brought back to North America where he was spectacularly successful. So too were the educational institutions that he founded, based upon English models. Moody’s theology was vague, but compelling. He preached the need for a decisive conversion, the permanency of salvation, and the loving nature of the Almighty. He affirmed the literal Second Coming and the millennium, but did not endorse any specific dispensational scheme.

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)0.003
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: Other
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.009
Scholarly communication0.0060.006
Open science0.0000.002
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0150.005

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 head0.058
GPT teacher head0.306
Teacher spread0.247 · 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
Published2023
Admission routes1
Has abstractyes

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