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Record W2317377944 · doi:10.3724/sp.j.1042.2013.00381

Judgement and Decision Making across Cultures

2013· article· en· W2317377944 on OpenAlex
JI Li-Jun, KAULIUS Megan

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

VenueAdvances in Psychological Science · 2013
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsQueen's University
Fundersnot available
KeywordsJudgementComputer sciencePsychologyEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

摘要: 本文对判断和决策研究领域所发现的跨文化差异进行了回顾。鉴于大多数判断和决策的跨文化研究都集中于对亚洲和西方文化的比较, 本文也主要关注这方面的研究发现。具体来说, 本文回顾了在概率判断及信心、风险知觉、冒险行为、消费者行为以及经济判断和决策中所存在的跨文化差异。综述结果表明尽管亚洲人和西方人的判断和决策行为存在很大的跨文化差异, 研究也发现了显著的文化内差异。目前关于判断和决策的跨文化差异的研究还相对匮乏, 未来还需要更多的研究来进一步了解判断和决策行为的跨文化差别及机制。

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.919
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.069
GPT teacher head0.515
Teacher spread0.445 · 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