“Let’s See if we can go a Whole Day on the Road Eating Free Food”: Encountering the Divine with Claire Dwyer in the Private Spaces of Richmond’s Highway to Heaven
Bibliographic record
Abstract
This article recounts the development of the author’s positionality in studying religion in a Canadian suburb through a collaborative project with the late feminist geographer of religion Claire Dwyer. The field site was No. 5 Road, the “Highway to Heaven” in Richmond, British Columbia with over 20 religious institutions on a three kilometre stretch of road. Building from Dwyer’s writing on “encountering the divine” through field work from 2010 to 2012, the author offers an account of a personal shift from evangelical religious exclusivism to an understanding of the plurality of interreligious experience. Using a reflexive writing style, the article works through the discovery that each of the religious communities on the road saw themselves as private spaces into which the collaborative researchers were invited. “Encountering the divine” therefore tended to take place over meals inside the various religious buildings, leading to the personal transformation that the author describes. This article contributes to religious studies by offering an account of how the act of ethnographic field work can lead to a shift within a researcher’s own positionality, which must be brought reflexively and explicitly to the fore through the practice of research.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.050 | 0.034 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| 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".