New Immigrants’ Perceptions of Family Life in Origin and Host Cultures: In-group and Out-group Favoritism Effect
Bibliographic record
Abstract
This paper explores the degree of congruency of new immigrants’ opinions regarding family life among, the in-group (the Soviet Jewish family) and the out-group (the veteran Israeli family). Contradictory tendencies are described: the one attributes positive characteristics to the in-group, and the other tends to view the out-group more favorably. The present study examines the impact of different factors (sense of well-being and satisfaction with family life before and after immigration; adjustment to the new environment; ethnic self-identification; and level of stress) on perceptions of host family life and their role in redicting tendencies towards in-group and outgroup favoritism. The paper is based on data collected from 2 IO ex-Soviet couples who immigrated to Israel between 1990 and 1993. The results indicate that: ( I) the general tendency of new immigrants to attribute more positive characteristics to the in-group is due to a combination of contradictory tendencies on the individual level; (2) the higher the level of adjustment, the more positive characteristics are attributed to the out-group than to the in-group; (3) the more dissatisfaction with one’s family life and the worse a person’s psychological status, the stronger the tendency towards in-group favoritism effect.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".