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Record W2107896670 · doi:10.1177/0022022113480039

Cultural Attachment

2013· article· en· W2107896670 on OpenAlexaff
Ying‐yi Hong, Yang Fang, Ying Yang, Desiree Y. Phua

Bibliographic record

VenueJournal of Cross-Cultural Psychology · 2013
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAcculturationAttachment theoryPsychologyIndonesianSocial psychologyDevelopmental psychologySociologyEthnic groupAnthropology

Abstract

fetched live from OpenAlex

Cultural attachment theory postulates that the adaptive solution of acculturation is analogous to infants’ attachment to their caretakers, whereby forming secure attachment to the native and/or host cultures can help sojourners to cope with anxiety and stress and to gain a sense of safe haven. To test this theory, we recruited 57 Indonesian students who were studying in Singapore and measured their quality of cultural attachment in two ways: (a) self-reported cultural attachment styles with the native and host culture and (b) positive affective transfer from Indonesian (native) and that from Singaporean (host) cultural icons. The participants’ self-reported cultural attachment styles and identifications with the two cultures were differentially correlated with their positive affective transfers from the two cultural icons. Importantly, the participants’ self-reported attachment styles of native and host cultures and their positive affective transfer from the Indonesian (native) cultural icons were linked to better adjustment in the host culture (as indicated by less perceived discrimination and acculturation stress, and greater subjective well-being). Implications of these findings on cross-cultural competence were 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)0.003
metaresearch head score (Gemma)0.012
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0290.005

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 head0.142
GPT teacher head0.517
Teacher spread0.374 · 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

Citations79
Published2013
Admission routes1
Has abstractyes

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