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Record W2171757047 · doi:10.1177/0022022103260459

The Ecocultural Framework, Ecosocial Indices, and Psychological Variables in Cross-Cultural Research

2004· article· en· W2171757047 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

VenueJournal of Cross-Cultural Psychology · 2004
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsQueen's University
Fundersnot available
KeywordsIntrapersonal communicationPsychologySocial psychologyHofstede's cultural dimensions theoryContext (archaeology)IndividualismInterpersonal communicationSociologyGeography

Abstract

fetched live from OpenAlex

Relationships between context variables (ecosocial indices) and psychological variables across different nations were investigated, guided by Berry’s Ecocultural Framework. The psychological variables were values (Hofstede; Inglehart; Schwartz; Smith, Dugan, and Trompenaars) and subjective well-being (Diener). The ecosocial indices of religion and affluence had separate and in some ways contrasting relationships with psychological variables. Some religions were related to higher interpersonal power, loyalty, and hierarchy, but lower affluence. Other religions, (particularly Protestantism) and higher affluence were related to intrapersonal aspects, such as individualism, utilitarian commitment, and well-being. The most important result was the finding that scores of psychological variables showed systematic relationships with cluster membership of countries on ecosocial indices. The study proposes a solution to a theoretical and methodological problem of current cross-cultural psychology: the search for cultural (context) variables that would explain similarities and differences in psychological variables in different clusters of countries.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.335
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.005
Scholarly communication0.0020.002
Open science0.0010.000
Research integrity0.0010.003
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 head0.256
GPT teacher head0.571
Teacher spread0.315 · 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