Cultural immersion alters emotion perception: Neurophysiological evidence from Chinese immigrants to Canada
Bibliographic record
Abstract
To explore how cultural immersion modulates emotion processing, this study examined how Chinese immigrants to Canada process multisensory emotional expressions, which were compared to existing data from two groups, Chinese and North Americans. Stroop and Oddball paradigms were employed to examine different stages of emotion processing. The Stroop task presented face-voice pairs expressing congruent/incongruent emotions and participants actively judged the emotion of one modality while ignoring the other. A significant effect of cultural immersion was observed in the immigrants' behavioral performance, which showed greater interference from to-be-ignored faces, comparable with what was observed in North Americans. However, this effect was absent in their N400 data, which retained the same pattern as the Chinese. In the Oddball task, where immigrants passively viewed facial expressions with/without simultaneous vocal emotions, they exhibited a larger visual MMN for faces accompanied by voices, again mirroring patterns observed in Chinese. Correlation analyses indicated that the immigrants' living duration in Canada was associated with neural patterns (N400 and visual mismatch negativity) more closely resembling North Americans. Our data suggest that in multisensory emotion processing, adopting to a new culture first leads to behavioral accommodation followed by alterations in brain activities, providing new evidence on human's neurocognitive plasticity in communication.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".