Honour, acculturation and well‐being: Evidence from the <scp>UK</scp> and Canada
Bibliographic record
Abstract
Adopting a social psychological approach, across three studies (N = 927) in two western immigrant-receiving societies (UK and Canada), we examined the role of honour in acculturation variables (i.e., immigrants' heritage and mainstream cultural orientation and well-being), controlling for some of the commonly studied predictors of immigrant adaptation. We assessed honour as concern (Studies 1 and 2) and as a desired attribute for men and women (Study 3) and studied well-being in terms of acculturative stress (Study 1) and subjective evaluation of one's life (Studies 1 and 3). We examined our questions among groups of immigrants originating from honour (Studies 1 and 2) and dignity cultural groups (Study 1) and from first- and second-generation immigrants (Study 3). Overall, despite some significant associations at the bivariate level between honour and acculturation outcomes, findings provided mixed support for the claim that honour (measured as concerns and cultural codes) plays a significant role in immigrant acculturation above and beyond commonly studied predictors of immigrant adaptation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".