Bibliographic record
Abstract
Religious life in Canada has changed dramatically in recent decades due to secularization and the population shifts resulting from urbanization and immigration. New varieties of pluralism have emerged, entailing massive changes in a culture once assumed to be almost uniformly Christian. God's Plenty examines the religious landscape of Kingston, Ontario, in the twenty-first century. The rich religious life of Kingston - a mid-sized city with a strong sense of its history and its status as a university town - is revealed in a narrative that integrates material from sociological and historical studies, websites, interviews, religious and literary scholarship, and personal experience. In Kingston, as in every Canadian city, downtown parishes and congregations have dwindled, disappeared, or moved to the suburbs. Attendance at mainline churches - and their political authority - has declined. Ethnic diversity has increased within Christian churches, while religious communities beyond Christianity and Judaism have grown. Faith groups have split along liberal and conservative lines, and the number of those claiming to have no religion - or to be spiritual but not religious - has increased. Yet amidst all this, religion continues to be evident in institutions and public life and important to the lives of many Canadians. God's Plenty, a ground-breaking contribution to the study of religion in Canada and a model for future community-based research, is the first overview of the religious topography of a Canadian city, telling the story of various faith communities and adding to the study of religious diversity and multiculturalism.
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 | 0.000 | 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 | 0.033 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".