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Record W3125637614 · doi:10.1073/pnas.2016649118

Sensing the presence of gods and spirits across cultures and faiths

2021· article· en· W3125637614 on OpenAlexaff
T. M. Luhrmann, Kara Weisman, Felicity Aulino, Joshua Brahinsky, John Dulin, Vivian Dzokoto, Cristine H. Legare, Michael Lifshitz, Emily Ng, Nicole Ross-Zehnder, Rachel Smith

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2021
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsMcGill University
FundersJohn Templeton FoundationNational Science Foundation
KeywordsFaithPower (physics)Social psychologyAestheticsPsychologySociologyEpistemologyArtPhilosophy

Abstract

fetched live from OpenAlex

Hearing the voice of God, feeling the presence of the dead, being possessed by a demonic spirit-such events are among the most remarkable human sensory experiences. They change lives and in turn shape history. Why do some people report experiencing such events while others do not? We argue that experiences of spiritual presence are facilitated by cultural models that represent the mind as "porous," or permeable to the world, and by an immersive orientation toward inner life that allows a person to become "absorbed" in experiences. In four studies with over 2,000 participants from many religious traditions in the United States, Ghana, Thailand, China, and Vanuatu, porosity and absorption played distinct roles in determining which people, in which cultural settings, were most likely to report vivid sensory experiences of what they took to be gods and spirits.

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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.107
GPT teacher head0.420
Teacher spread0.313 · 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

Citations130
Published2021
Admission routes1
Has abstractyes

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Same venueProceedings of the National Academy of SciencesSame topicCultural Differences and ValuesFrench-language works237,207