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Record W4402664781 · doi:10.1093/mj/kjae019

God-Talk: an Introduction

2024· article· en· W4402664781 on OpenAlexaff
David Novák

Bibliographic record

VenueModern Judaism - A Journal of Jewish Ideas and Experience · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Linguistic Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNonsenseRevelationReferentIllusionPrayerPhilosophyJudaismEpistemologyLinguisticsPsychologyTheologyCognitive psychology

Abstract

fetched live from OpenAlex

Abstract God-talk consists of God speaking to humans in revelation, and humans speaking to God in prayer. They are the two forms of the covenantal language spoken between God and humans in general, and specifically between God and the Jewish people. God-talk is an essential component of the languages of all historic cultures. Yet there have been attempts to dismiss God-talk from public discourse, either epistemologically by claiming it is nonsense, or psychologically by claiming it is an invented illusion. Conversely, it is argued here that Jewish God-talk (by no means uniquely) has a logic that regulates how it may and may not be intelligently spoken by its speakers; hence it is not nonsense. And it is argued here that God-talk has always been spoken in human history, that it would be unintelligible in any language whose speakers did not already intend a real referent by the name “God”; hence it is not an invented illusion. This essay is an attempt to retrieve God-talk so that it can be conducted in public discourse, even in secular space.

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 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 score0.018
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0040.007
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0180.004

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 head0.024
GPT teacher head0.321
Teacher spread0.297 · 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
Published2024
Admission routes1
Has abstractyes

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