Cardiac vagal control among migrants: Associations with mainstream acculturation and perceived ethnic discrimination.
Bibliographic record
Abstract
OBJECTIVE: This cross-sectional study examines associations between cardiac vagal control and mainstream acculturation by systematically investigating the independent contributions of resting, reactivity, and recovery Respiratory Sinus Arrhythmia (RSA)-physiological factors contributing to adaptive functioning, including social engagement capacity. This study also examines the moderating role of RSA reactivity in associations between perceived ethnic discrimination and mainstream acculturation. METHOD: The sample comprised 111 migrants from Maghreb (Morocco, Algeria, and Tunisia) to Montreal, QC, Canada. On average, participants (60 women) were 31 years old and had immigrated 7 years prior to the study. The study design was cross-sectional. We collected both psychophysiological (electrocardiogram) and self-report questionnaire data. RESULTS: All three facets of cardiac vagal control are independently associated with mainstream acculturation: Higher mainstream acculturation was associated with higher resting RSA (β = .24), lower RSA reactivity (β = -.27), and higher recovery RSA (β = .26), controlling for several theoretically relevant covariates. Furthermore, lower RSA reactivity to a discrimination-recall task dampened the relation between perceived discrimination and mainstream acculturation (interaction β = -.20). CONCLUSIONS: This study replicates and extends prior work linking RSA and mainstream acculturation using a sample of racialized and marginalized migrants. It provides evidence that RSA is related to migrants' adoption of the mainstream culture and may modulate how they handle perceived ethnic discrimination. Thus, this study also provides evidence that RSA is tied to how individuals successfully navigate novel social environments, including novel cultural contexts. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".