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Record W2883954943 · doi:10.1111/sode.12327

Modesty can promote trust: Evidence from China

2018· article· en· W2883954943 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSocial Development · 2018
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsUniversity of Toronto
FundersNatural Science Foundation of Zhejiang ProvinceNational Natural Science Foundation of China
KeywordsTrustworthinessPromotion (chess)ChinaPsychologySocial psychologyValue (mathematics)LawPolitical science

Abstract

fetched live from OpenAlex

Abstract When people let others know about their accomplishments, they can improve their social standing, but doing so may also have a cost, especially within social environments in which there is great emphasis on the value of modesty. One particular downside of self‐promotion, the risk of being seen as untrustworthy, was examined among children in China. Across three studies, children ranging in age from 7 to 11 years (total N = 251) judged the trustworthiness of protagonists who exhibited either modesty or immodesty. In Study 1, protagonists who told lies in the service of modesty were judged as more trustworthy than those who told lies to avoid getting into trouble. In Study 2, protagonists who demonstrated modesty were rated as trustworthy, but those who demonstrated immodesty were not. Study 3 showed that the positive implications of modesty for trust are specific to downplaying one’s own accomplishments and do not extend to downplaying the accomplishments of a peer. Taken together, the results suggest that for children in China, the level of modesty serves as a cue about which people can be trusted.

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.

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 score0.727
Threshold uncertainty score0.750

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.146
GPT teacher head0.312
Teacher spread0.166 · 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