Bibliographic record
Abstract
This study examines the experience of visitors to the shrine of Sainte Anne de Beaupré in Québec, Canada. Drawing on ethnographic data, narratives and historical research, this project describes the ways in which Saint Anne is meaningful to people. I focus on the themes of pilgrimage and tourism, devotional expressions, visionary experiences and religious healing. While the earliest visitors to the shrine were primarily motivated by stories of the miraculous, contemporary visitors have many different motivations, blurring the scholarly boundaries constructed between pilgrimage and tourism. Devotional expressions at Sainte Anne de Beaupré, understood as “media of engagement” or “relationships of presence,” encompass a wide range of practices, meanings and functions. Power is invested and diffused through Saint Anne by forming “cogent connections” to her through the media of devotional expressions. This study also considers visionary experiences that are associated with Saint Anne, especially visions that are related to pilgrimage and religious healing at Sainte Anne de Beaupré. Rather than focusing on the “epiphany” of the visionary experience itself, I suggest that agency is key to understanding visions, particularly as they relate to issues of empowerment. Finally, I situate pilgrimage, devotional expressions and visionary encounters in the context of religious healing. The term healing encompasses a broad range of meanings, and I demonstrate that journeys to Sainte Anne de Beaupré involve a quest for therapy, self-transformation, identity and/or personal empowerment.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".