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Record W4386927954 · doi:10.1177/19485506231195915

Adults Show Positive Moral Evaluations of Curiosity About Religion

2023· article· en· W4386927954 on OpenAlexafffund
Cindel White, Ariel J. Mosley, Larisa Heiphetz Solomon

Bibliographic record

VenueSocial Psychological and Personality Science · 2023
Typearticle
Languageen
FieldPsychology
TopicPsychological and Educational Research Studies
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council of CanadaJohn Templeton Foundation
KeywordsCuriosityPsychologySocial psychologyVirtuePreferencePerceptionNeed for cognitionCognitionEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Four experiments investigated the perceived virtue of curiosity about religion. Adults from the United States made moral judgments regarding targets who exhibited curiosity, possessed relevant knowledge, or lacked both curiosity and knowledge about religion and comparison topics (e.g., science). Participants attributed greater moral goodness to targets who displayed curiosity compared with targets who were ignorant or knowledgeable about the domain. This preference was consistent across Jewish, Protestant, Catholic, and other Christian participants but was absent when atheists evaluated religious curiosity. Perceptions of effort partially mediated judgments: Participants viewed curious characters as exerting more effort and consequently rated them as more moral. To test causality, we manipulated perceptions of effort and showed that participants viewed curious characters who exerted effort as particularly moral. This work fosters novel insights into the perceived virtue of curiosity and further illuminates similarities and differences between religious and scientific cognition.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.203
GPT teacher head0.515
Teacher spread0.312 · 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 designObservational
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

Citations4
Published2023
Admission routes2
Has abstractyes

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