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Record W2108038215 · doi:10.1177/0022022111430257

One and Not the Same

2011· article· en· W2108038215 on OpenAlexaff
Ella Daniel, David Schiefer, Ariel Knafo‐Noam

Bibliographic record

VenueJournal of Cross-Cultural Psychology · 2011
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConformityEthnic groupContext (archaeology)ResidenceImmigrationTurkishSocial psychologyPsychologyCultural valuesNorwegianSituational ethicsValue (mathematics)DemographySociologyGeographyPolitical scienceGender studiesStatisticsMathematicsLaw

Abstract

fetched live from OpenAlex

Values are trans-situational, but little is known about their differential consistency across situations. We studied the cross-context correlations of value importance in six adolescent groups across Israel (Jewish majority, former Soviet-Union [FSU] immigrants, and Arab minority) and Germany (majority, FSU, and Turkish immigrants).Values were elicited for several contexts: family, school, and country of residence. Self-direction, achievement, conformity, and benevolence values in the family, the school, and the country of residence contexts revealed a moderately positive correlation among majority members (Study 1). A similar pattern was found for minority members (Study 2), suggesting that values are consistent in their rank order, but vary in importance based on circumstances. Study 2 also investigated minority members’ values in the ethnic context. In Israel, these values correlated positively with values in other contexts. In Germany, self-direction and conformity values in the ethnic context correlated negatively with the same values in other contexts (e.g., self-direction values in the student context and the ethnic context correlated negatively). The cultural environment is therefore relevant to value-system coherence.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
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
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.275
GPT teacher head0.481
Teacher spread0.205 · 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

Citations27
Published2011
Admission routes1
Has abstractyes

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