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Record W1982693840 · doi:10.1037/1099-9809.12.2.230

Parent-child value transmission among Chinese immigrants to North America: The case of traditional mate preferences.

2006· article· en· W1982693840 on OpenAlexaff
Michaela Hynie, Richard N. Lalonde, Nam S. Lee

Bibliographic record

VenueCultural Diversity & Ethnic Minority Psychology · 2006
Typearticle
Languageen
FieldPsychology
TopicEvolutionary Psychology and Human Behavior
Canadian institutionsYork University
Fundersnot available
KeywordsSpousePsychologyImmigrationSocial connectednessPreferenceDevelopmental psychologyChinese americansSocial psychologyMate choiceInterpersonal communicationDemographyGeographySociology

Abstract

fetched live from OpenAlex

Parent-child similarities in traditional mate preferences were examined in Chinese immigrants to North America. Adult children (n = 63) rated their preferred mate characteristics. Children then completed measures of interdependence, family allocentrism, Chinese identity, and Asian values. Their parents (n = 63) also rated their own preferences for their child's spouse and their own Asian values. Parents reported greater preference for traditional mate characteristics than did their children. Parents' preferences were related to parents' own Asian values. Children's traditional mate preferences were predicted by their parents' preferences and their own family allocentrism. Family allocentrism was a marginally significant partial mediator of parent's influence on children's preferences. Family connectedness may, therefore, facilitate intergenerational transmission of values in immigrant Asian families.

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 score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.077
GPT teacher head0.340
Teacher spread0.263 · 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

Citations91
Published2006
Admission routes1
Has abstractyes

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