Making the Mosaic Work? A Study of the Canadian Interfaith Movement
Bibliographic record
Abstract
In Canada, where one’s religious identity is a private affair, organized interfaith initiatives provide one of the few public forums where one is encouraged to affirm a religious conviction. More and more, Canadians are encountering different religions and spiritual paths in workplaces, neighbourhoods, leisure activities, politics and the daily news. Alongside these encounters interfaith initiatives have developed, especially in the larger urban centers of Vancouver, Montreal and Toronto. While similar interfaith initiatives can be found across the country, variations in religious populations and pressing political / social concerns have influenced the distinct character of interfaith activities in each centre. Drawing on findings from 110 in-depth interviews with active members of Canadian interfaith initiatives, this thesis explores the matrix of influences which have contributed to the development of the interfaith movement within Canada and as part of the larger global interfaith movement. The research examines the motivations, approaches and types of interfaith work practised highlighting the diverse resources the interfaith movement offers for bridging the religious diversity found within the contemporary world. The study also calls attention to various challenges facing the Canadian and global interfaith movement including questions about representation, missing voices, stagnation, the need for deeper exploration of difference, strategies for intrafaith dialogue, measuring impact, and finding the required resources to build more tools and forums for interfaith work.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.073 | 0.024 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".