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Record W4396693406 · doi:10.11647/obp.0371.12

12. Ways of Knowing

2024· book-chapter· en· W4396693406 on OpenAlexaff
Luke Clossey

Bibliographic record

VenueOpen Book Publishers · 2024
Typebook-chapter
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsComputer sciencePsychology

Abstract

fetched live from OpenAlex

Telling the story of how Christians learned to stop worrying and embrace the probable, this chapter considers how thinkers evaluated the certainty and truth of Jesus revelations, both canonical and contemporary. The latter included revelations made to women, with gender rendering their accounts especially unreliable, or, in the plain ken, especially trustworthy. Some writers used Jesus as a tool to demolish the claims of reason; others found in Jesus the compelling certainty they sought. Throughout the East, from Greece to Russia, hesychasts combined the Jesus prayer with breathing techniques to compensate for the instability of knowledge. Jean Gerson raised a difficult question: Should a priest celebrate the eucharist—that is, affect the presence of the body and blood of Jesus—after a nocturnal emission? His investigations led to the development of a plain-ken approach that celebrated a messy probabilism as an acceptable answer to uncertainty, first in ethics, and later more generally. In these ways a plain-ken vision of history, a messy world of contingency, arose between what was necessarily true and what was impossible.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.435
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0030.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0410.001

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 head0.083
GPT teacher head0.248
Teacher spread0.166 · 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.

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
Published2024
Admission routes1
Has abstractyes

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