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Record W3186709605 · doi:10.1073/pnas.2021727118

The salience of choice fuels independence: Implications for self-perception, cognition, and behavior

2021· article· en· W3186709605 on OpenAlexaff
Kevin Nanakdewa, Shilpa Madan, Krishna Savani, Hazel Rose Markus

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2021
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersNanyang Technological University
KeywordsSalience (neuroscience)SalientPsychologyPerceptionSocial psychologyCognitionIndependence (probability theory)IndividualismMainstreamCognitive psychologyPolitical science

Abstract

fetched live from OpenAlex

= 1,288) across three cultural contexts known to differ in both the salience of choice and the cultural emphasis on independence (the United States, Singapore, and India) provided converging evidence of a link between the salience of choice and independence. Singaporean students who recalled choices rather than actions represented themselves as larger than their peers (study 1). Conceptually replicating this finding, study 2 found that Americans who recalled choices rather than actions rated themselves as physically stronger. In a word/nonword lexical decision task (study 3), Singaporean students who recalled choices rather than actions were quicker at identifying independence-related words, but not neutral or interdependence-related words. Americans, Singaporeans, and Indians all indicated that when working in an organization that emphasized choice, they would be more likely to express their opinions. Similarly, Americans, Singaporeans, and Indians reported a preference for working in such an organization (studies 4a and 4b). The findings suggest that the salience of personal choice may drive an awareness and experience of independence even in contexts where, unlike in the United States, independence has not been the predominant ethos. Choice may be an unmarked and proximate mechanism of cultural change and growing global individualism.

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)0.001
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 score0.775
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.117
GPT teacher head0.417
Teacher spread0.300 · 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

Citations10
Published2021
Admission routes1
Has abstractyes

Explore more

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