Religious transnationalism among Ghanaian immigrants in Toronto: a binary logistic regression analysis
Bibliographic record
Abstract
Thanks to pioneering work within anthropology, students of international migration acknowledge that most immigrants do not sever their ties with the homeland, but rather maintain them through a variety of cross‐border relationships. While scholarly work has proliferated, since the early 1990s, over the transnational economic and political activities of immigrants, to date, only few analysts have examined the religious practices with which immigrants sustain memberships in multiple locations. In addition, most available studies on transnational migration has dwelled on qualitative methods, such as participant observation, focus groups discussions and in‐depth interviews with a handful of informants, with little or no inclination towards the quantitative measurement of key variables implicated in the process. The prevalence of ethnographic methods in this area of research has, quite understandably, engendered charges of exaggeration, given the tendency of such techniques ‘to sample on the dependent variable’, to borrow the phrase of Alejandro Portes. Using data collected from a survey among Ghanaian immigrant congregations in Toronto, this study seeks to statistically predict the propensity to engage in transnational religious practices by way of a binary logistic regression analysis. In addition, the study examines how the transnational religious activities of the sampled immigrants relate to, overlap with, and differ from other kinds of transnational practices they pursue .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.012 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".