Unraveling Perceived Ethnic Density Effects and Recontextualizing Acculturation: The cases of \nStudent and Russian-Speaking Immigrants to Montreal
Bibliographic record
Abstract
Social context has often been neglected in recent social and culturally focused psychology research (Oishi, Keisibir, & Snyder, 2009; Van de Vijver & Leung, 2000). The immigrant acculturation literature is no exception. Research linking acculturation to adjustment has been permeated with inconsistent results, partly due to differences in methodologies, settings, and samples between studies (see Trickett Persky & Espino, 2009). A potential avenue towards resolving these inconsistencies is to study acculturation in ecological context. Ethnic Density (ED), the concentration of immigrants of the same ethnicity residing in an area, is one such ecological variable. ED has generally been associated with better mental health, but again there are paradoxical findings and the mechanisms of the ED effect are rarely addressed (Shaw et al., 2012). Since ED and acculturation phenomena are seldom combined in research (cf. Kwag, Jang, & Chiriboga, 2012) an attempt was made to remedy this situation in the current investigations. \nTwo studies attempted to unpack the mediating mechanisms of the perceived local area ED effect and contextualize acculturation-adjustment relations in Montreal. The first, utilizing a heterogeneous group of student immigrants (N=146), found that ED protected participants against depression via reduced discrimination. Furthermore, ED moderated the relation between heritage acculturation and depression, suggesting a person-environment match: immigrants tended to benefit from heritage acculturation living in a high but not low ED context. The second, a community study of Russian-speaking immigrants from the former Soviet Union (N=269), aimed to replicate and extend these findings. A multi-item measure of perceived ED was developed and validated against an objective indicator. Again, an indirect effect of ED was found, but this time for general distress through acquiring social support. Moreover, heritage acculturation was double moderated by perceived ED and length of neighbourhood residence. This interaction indicated an ethnic density-heritage acculturation match but for more recent neighbourhood residents. A different relation emerged for established neighbourhood residents, where low ED was associated with more symptoms, especially for those low on heritage culture affiliation. In neither study did mainstream acculturation interact with ED to predict adjustment. The findings support studying acculturation in ecological context, and suggest that heritage acculturation is relevant to adjustment in Montreal, a unique city with more than one dominant culture. Future research directions as well as clinical and prevention implications 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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".