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Record W4404466711 · doi:10.1080/10508619.2024.2423112

Guided by God: Consulting Divine Omniscience During Decision Making

2024· article· en· W4404466711 on OpenAlexafffundabout
Abdo Elnakouri, Konstantyn Sharpinskyi, Ian McGregor, Abigail A. Scholer

Bibliographic record

VenueInternational Journal for the Psychology of Religion · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council
KeywordsOmnisciencePsychologyPhilosophyTheology

Abstract

fetched live from OpenAlex

To confront difficult decisions, religious believers commonly seek guidance from sacred sources of knowledge, such as an all-knowing God. We predicted that engaging in this practice may be related to decision satisfaction. Specifically, across three studies (N = 2,474; two pre-registered), and three countries (U.S. Sweden, Canada), we explored whether religious believers who report consulting God during decisions experienced greater decision and life satisfaction, particularly when they also held a belief in God’s omniscience. Religious people who consulted God during decisions reported increased life satisfaction initially (Study 1a), and over time (Study 1b). Further, consistent with the proposed mechanism, when consulting God for guidance, participants who perceived God as especially omniscient (but not omnipotent or predictable) experienced greater decision satisfaction for past decisions (Study 2), anticipated future decisions (Study 2), and immediately following a decision (Study 3). Findings suggest that religious believers may benefit from seeking guidance from an omniscient God.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.202
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.047
GPT teacher head0.463
Teacher spread0.416 · 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

Citations0
Published2024
Admission routes3
Has abstractyes

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