Religion in the Aspirations-(Cap)abilities Framework of Migration: A Case of Ghanaian Emigration and Integration in Canada
Bibliographic record
Abstract
Over the last three decades, there has been extensive research on religion and migration. Yet, existing approaches focus more on the consequences of migration in destination countries than the conditions that generate migration in the first place. This study argues that new insights can be gained when scholars address separately how religion emerges, first, in the aspiration to migrate; second, in the (cap)ability to move; and finally, in the settlement and integration of immigrants. Using mixed methods involving observations, online surveys (N=642), and fifty interviews, the study explores the nature and role of Christianity in Ghanaian emigration and integration into Canada. The analysis of migration aspirations shifts the study of religion from actual migration in the present to imagined migration in the future. This shift draws attention to experiential dimensions of religion—dreams, prophecies, and intuitions—which subvert rational economic motives, or external push and pull factors of migration. The analysis of religion in the cap(ability) to move highlights the important role of religious resources that show how migrants are differently equipped to overcome barriers to migration. Finally, the cases of Ghanaian Christian immigrants in Ontario posit integration and immigrant religion as middle grounds where structure and agency meet. Challenging stereotypical notions of poverty-driven African emigration, this study provides relevant knowledge of development-driven African emigration and the crucial role religion plays in the migratory process.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".