MétaCan
Menu
Back to cohort
Record W2041433135 · doi:10.1111/1464-0597.00151

The Process of Acculturation and Basic Goals: Testing a Multidimensional Individual Difference Acculturation Model with Iranian Immigrants in Canada

2003· article· fr· W2041433135 on OpenAlexaffabout
Saba Safdar, Clarry H. Lay, Ward Struthers

Bibliographic record

VenueApplied Psychology · 2003
Typearticle
Languagefr
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsYork UniversityUniversity of Guelph
Fundersnot available
KeywordsHumanitiesAcculturationPsychologySociologyEthnologyEthnic groupPhilosophyAnthropology

Abstract

fetched live from OpenAlex

Trois des objectifs de base des immigrants dans les sociétés multiculturelles (la sauvegarde de l’heritage culturel, l’insertion dans la société d’acceuil et la préservation de la santé physique et psychologique) ont été retenus comme variables dépendantes dans l’élaboration d’un modèle portant sur les différences individuelles du processus d’acculturation. Les trois prédicteurs composites du modèle furent: 1. L’adaptation psychosociale englobant le bien‐être psychologique, le compétence biculturelle et le soutien social perçu de l’outgroup; 2. Le rattachement à la famille et à la culture englobant l’allocentrisme familial, l’identité ethnique et le soutien perçu de l’ingroup; 3. L’expérience des conflits quotidiens relevant ou non de l’acculturation. On a aussi pris en considération la fonction des deux modes d’acculturation que sont la différenciation et l’assimilation. Ce sont 81 iraniennes et 85 iraniens immigrés au Canada qui ont contribuéà cette recherche; leur âge médian était de 34 ans et leur temps de séjour médian au Canada de sept ans. La validité du modèle a été mise à l’épreuve grâce au Structural Equation Modelling (SEM). L’adaptation psychosociale est en relation directe avec le comportement de l’outgroup (qui représente le contact avec la culture d’accueil) et la détresse psychosomatique. Le rattachement à la famille et à la culture est en relation directe avec le comportement de l’ingroup, et les conflits quotidiens sont reliés à la détresse psychosomatique. En outre, chacun de ces prédicteurs est associé avec chacun des deux types d’acculturation. En retour, ces modes d’acculturation prédisent les variables dépendantes comportementales. On examine enfin les retombées de ce modèle sur des recherches futures. Three of the basic goals of immigrants in multicultural societies—maintenance of heritage culture, participation in the host society, and maintenance of psychological and physical health—were examined as outcome variables in a proposed individual difference model of the acculturation process. The three composite predictor variables in the model were psychosocial adjustment, consisting of psychological well‐being, bicultural competence, and perceived outgroup social support; connectedness to family and culture, consisting of family allocentrism, ethnic identity, and perceived ingroup support; and the experience of acculturation‐specific and non‐specific daily hassles. The roles of separation and assimilation modes of acculturation were also examined. The research participants were 85 male and 81 female Iranian immigrants to Canada. Their median age was 34 years; their median length of residence in Canada was seven years. The viability of the model was supported through Structural Equation Modelling (SEM). Psychosocial adjustment was directly related to outgroup behavior (reflecting contact with the host culture) and to psychophysical distress. Connectedness to family and culture was directly related to ingroup behavior, and daily hassles were directly related to psychophysical distress. Furthermore, each of these predictor variables was associated with either or both modes of acculturation. In turn, these modes of acculturation predicted the outcome behavior variables. Implications of the model for further research 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)0.003
metaresearch head score (Gemma)0.006
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 score0.022
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0050.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.066
GPT teacher head0.351
Teacher spread0.285 · 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

Citations173
Published2003
Admission routes2
Has abstractyes

Explore more

Same venueApplied PsychologySame topicRacial and Ethnic Identity ResearchFrench-language works237,207