Religion and integration among immigrant and minority youth
Bibliographic record
Abstract
Although previous studies have examined the role of religion in immigrant integration, little systematic knowledge is available on how much and through which mechanisms religion facilitates or hinders immigrant socioeconomic and cultural integration. The papers in this collection explore the role of religion in the socioeconomic and cultural integration of immigrants and minorities from a cross-national perspective, with a particular focus on the experiences of immigrant youth. The formative years of adolescence and early adulthood serve as the foundation for individuals’ later integration trajectories. In this introductory editorial, we describe the methodological challenges associated with the study of the role of religion in minorities’ integration, and then identify five mechanisms that are prominent in the literature on the effects of religion. We then summarise the key findings reported in the papers included in this collection, and show how they help us understand these mechanisms. These papers highlight variations in the impact of minority religions on facilitating or hampering integration, and help clarify inferences regarding the significance of discrimination against minorities who have certain religious affiliations, such as Muslims. They also underscore the role of social, cultural and economic contexts in determining how religious affiliation is associated with integration outcomes.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 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".