Integrating Immigrants into the Life of Canadian Urban Christian Congregations: Findings from a National Survey
Bibliographic record
Abstract
In just one generation the cultural face of Canadian society has been transformed. The relative level of immigration has increased rapidly as has diversity among those immigrants. This article reports on the findings of a national survey that offers a baseline of how and to what extent local Canadian Christian congregations are responding to this cultural diversity. In particular, it explores how churches are integrating immigrants within the life of their local congregations. This article uses a systems change perspective to frame immigrant integration. This perspective emphasizes three requirements for change: vision, structure and processes that promote immigrant integration. Data was collected using an online survey of urban congregations in the nine urban Canadian communities having an immigrant population above the national average (20% foreign-born). Using these data this article explores the full range of immigrant integration efforts from the initial welcome to inclusion into congregational life. It describes the present status of immigrant integration, details reported successes and challenges and notes respondent suggestions for better integration. Results of this survey provide first-time baseline insights into how a range of urban Christian congregations from across Canada are presently responding to the Canadian immigrant reality.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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; 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".