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Record W4394789910 · doi:10.31234/osf.io/aud8f

The primacy of the inner self in decision-making preferences across cultures

2024· preprint· en· W4394789910 on OpenAlexafffund
Igor Grossmann, Maksim Rudnev, Wilmer G. Ancon Lopez, Mohammad Atari, Kelli L. Barr, Abdellatif Bencherifa, Wesley Buckwalter, Rockwell F. Clancy, German Cuji Dahua, Norberto Cuji Dahua, Yasuo Deguchi, Anna Dorfman, Emanuele Fabiano, Badr Guennoun, Júlia Halamová, Takaaki Hashimoto, Joshua Homan, Martin Kanovský, Kaori Karasawa, Hackjin Kim, Jordan Kiper, Minha Lee, Xiaofei Liu, Veli Mitova, Rukmini Bhaya Nair, Ljiljana Pantović, Brian Porter, Pablo Quintanilla, Josien Reijer, Pedro Romero, Yuri Sato, Purnima Singh, Salma Tber, Daniel A. Wilkenfeld, Lixia Yi, Stephen Stich, H. Clark Barrett, Édouard Machery

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of CanadaJohn Templeton Foundation
KeywordsPsychologySocial psychologyCognitive psychology

Abstract

fetched live from OpenAlex

We investigated the universality versus cultural specificity of preferences for internal decision-making strategies (intuition/deliberation) over external strategies (advice from friends or crowds). Participants from samples spanning five continents (N=3,517), including Indigenous communities, considered scenarios involving personal and social decision-making. Across cultures, most participants preferred and felt better using internal strategies, although they believed their peers would seek external advice, revealing a discrepancy between personal preferences and perceived group norms. While internal strategies were generally favored in each culture, the magnitude of internal endorsement varied: individualists and those with a higher need for cognition favored internal strategies more, whereas collectivists and those with an outsider view reflective style favored them somewhat less. These findings challenge the traditional view of non-Western cultures as predominantly advice-following and have implications for understanding the interplay between individual and social learning, and for the design of decision-support systems in different societies.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score0.516

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 communication0.0000.000
Open science0.0010.002
Research integrity0.0000.001
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 head0.066
GPT teacher head0.442
Teacher spread0.376 · 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 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

Citations2
Published2024
Admission routes2
Has abstractyes

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