Understanding conversion to Jehovism among Indigenous peoples: The case of the Kitigan Zibi Anishinabeg
Bibliographic record
Abstract
Although present in Aboriginal communities since the early 1930s, Jehovism among Indigenous peoples in Canada and the United States has not yet been the subject of any published ethnographic, sociological, or historical study. This article presents the result of the first ethnographic study with Jehovah’s Witnesses among Aboriginal peoples in Canada. From an online field of research spanning over a period of 10 months with Anishinabe (Algonquin) Witnesses from Kitigan Zibi (Outaouais, Quebec), I explore the motivations behind the decision to become a Jehovah’s Witness for the latter. I also show that the first conversions in Kitigan Zibi are mainly due to a dual historical context that created a fertile ground for conversion. Finally, I propose the concept of ‘small-scale conversion’ as another way to conceive the intergenerational transmission of religion.
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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 | 0.003 |
| 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 | 0.017 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".