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Record W4393091774 · doi:10.1111/1467-9655.14109

Proselytizing is not evangelism: epistemic virtue and religious suasion at a post‐fundamentalist church in Nashville

2024· article· en· W4393091774 on OpenAlexafffund
Sam Victor

Bibliographic record

VenueJournal of the Royal Anthropological Institute · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of CanadaCambridge Trust
KeywordsEvangelismVirtueReligious studiesSociologyEnvironmental ethicsPhilosophyTheology

Abstract

fetched live from OpenAlex

Abstract This essay proposes a moral epistemological explanation for many US evangelicals’ growing unease about proselytizing. Drawing on extensive fieldwork at a church in Nashville, Tennessee, it highlights how a particular kind of epistemological certainty became a driving value of evangelical biblicism when early nineteenth‐century evangelicals attempted to apply the precepts of inductive science to textual interpretation. Members of the church I studied routinely express regret about this historical entanglement, which they blame for their denomination's dogmatic and ultimately unsuccessful fixation on persuading other people to believe the exact same things as they do. Against ‘proselytizing’ driven by ‘the desire to be right’, my interlocutors are trying to develop a practical social ethics whose explicitly biblical inspiration, they hope, will motivate others to want to become Christians. I show that as an analytic, religious suasion makes concepts like ‘proselytizing’ and ‘evangelism’ ethnographic again by sending them back to the field where our interlocutors themselves define and critique them. Doing this allows us to better grasp nuances in evangelicals’ own evolving ideologies and practices for making their religion intelligible to themselves and others.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.332
Teacher spread0.301 · 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 teacher head, 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

Citations3
Published2024
Admission routes2
Has abstractyes

Explore more

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