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Record W2741977785 · doi:10.1007/s40167-017-0052-0

Culture and emotion perception: comparing Canadian and Japanese children’s and parents’ context sensitivity

2017· article· en· W2741977785 on OpenAlexaffabout
Hajin Lee, Kristina Nand, Yuki Shimizu, Akira Takada, Miki Kodama, Takahiko Masuda

Bibliographic record

VenueCulture and Brain · 2017
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyPerceptionContext (archaeology)Developmental psychologyTask (project management)Social psychology

Abstract

fetched live from OpenAlex

Prior research on the perception of facial expressions suggests that East Asians are more likely than North Americans to incorporate the expressions of background figures into their judgment of a central figure's emotion (Masuda et al. in J Pers Soc Psychol 94:365-381, 2008b). However, little research has examined this issue in the context of developmental science, especially during joint sessions where parents engage in a task in front of their 7-8-year-old children. In this study, 22 Canadian and 20 Japanese child-parent dyads participated in an emotion judgment task, and were asked to judge a central figure's emotion and explain their reasoning. The results indicated that while early elementary school children did not show culturally dominant reasoning styles, parents displayed culturally dominant modes of attention, serving as models for their children.

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)0.003
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 score0.183
Threshold uncertainty score0.369

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.051
GPT teacher head0.320
Teacher spread0.269 · 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

Citations10
Published2017
Admission routes2
Has abstractyes

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