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Record W2086562307 · doi:10.1177/009365000027006004

Cultural Communication Competence and Psychological Adjustment

2000· article· en· W2086562307 on OpenAlexaboutno aff
Betty Kaman Lee, Ling Chen

Bibliographic record

VenueCommunication Research · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyConceptualizationCompetence (human resources)Developmental psychologySocial psychology

Abstract

fetched live from OpenAlex

Cross-cultural adaptation starts with communication, proceeds in and through communication, and is revealed in host communication competence. Based on this conceptualization, this study examines the relationship between psychological adjustment and cultural communication competence among members of immigrant families. Participants included 124 seventh- and eighth-grade Chinese-Canadian adolescents, together with 48 fathers and 64 mothers. The adolescents were group-administered the adolescent version of the Host and Native Communication Competence Scale, the How-I-Feel questionnaire, and the Children's Depression Inventory. Parents completed questionnaries concerning their own host and native communication competence and their children's psychological adjustment. Adolescents' host communication competence was correlated negatively with psychological problems, whereas their native communication competence was nonsignificantly associated with psychological problems. In addition, interactions between adolescents' host and native communication competence and parents' host and native communication competence were found to predict adolescents' psychological adjustment. Implications of findings are discussed.

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)0.005
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 score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.324
GPT teacher head0.537
Teacher spread0.213 · 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

Citations66
Published2000
Admission routes1
Has abstractyes

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