Growing Up Between Cultures: How Second-Generation Migrants Perceive and Construct “Home”
Bibliographic record
Abstract
The word “home” can refer to a house, a family, a country, or even to a feeling of safety and comfort. Through increased mobility, the conception of home as a static place loses its meaning. For second-generation migrants, the children of migrants, the concept of home is ambiguous. They can have transnational ties to their parents’ home country and the country they grew up in. The ambiguity leads second-generation migrants to construct home through reflective practices. Through in-depth interviews with eight second-generation migrants, we found that home is necessarily a complex and varied concept. The most important aspects to constructing a home are family (nuclear as well as extended family), a sense of community through shared values, and lastly reflective practices on what it means to grow up between cultures. While nuclear family provides the first safe space to create a feeling of home, feeling like part of a community is essential for feeling at home in a town or country. Some second-generation migrants find a community in the country they grew up in, while others feel rejected due to discrimination. In those cases, second-generation migrants search for cosmopolitan communities that share values of openness to difference.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".