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Record W2143670077 · doi:10.1177/0022022110383313

Idealism and Relativism Across Cultures

2010· article· en· W2143670077 on OpenAlexaffabout
Ying C. MacNab, David Cruise Malloy, Thomas Hadjistavropoulos, Phillip R. Sevigny, Elizabeth Fahey McCarthy, Masaaki Murakami, Suchat Paholpak, Shalini Natarajan, Peilai L. Liu

Bibliographic record

VenueJournal of Cross-Cultural Psychology · 2010
Typearticle
Languageen
FieldDecision Sciences
TopicEthics in Business and Education
Canadian institutionsUniversity of ReginaUniversity of British Columbia
Fundersnot available
KeywordsRelativismIdealismIdeologyConfirmatory factor analysisChinaCultural relativismCultural diversityConstruct (python library)Social psychologySocial scienceSociologyPsychologyPolitical scienceEpistemologyPhilosophyAnthropologyLawStructural equation modelingStatisticsMathematics

Abstract

fetched live from OpenAlex

This article represents one of the first cross-cultural explorations of ethical ideology among physicians. The study involved a total of 1,109 physicians from six countries (Canada, China, India, Ireland, Japan, and Thailand) who responded to the Ethics Position Questionnaire. A comprehensive Bayesian Confirmatory Factor Analysis demonstrated robustness of the ethical dimensions of idealism and relativism as fundamental across cultures, with noteworthy cross-cultural variation. In particular, a four-factor construct was revealed and suggested more complex ethical dimensions for Chinese physicians.

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)0.004
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.214
GPT teacher head0.595
Teacher spread0.381 · 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.

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

Citations22
Published2010
Admission routes2
Has abstractyes

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