“On Thursdays We Worship the Banana Plant”: Encountering Lived Hinduism in a Canadian Suburb
Bibliographic record
Abstract
Abstract Classic models of ethnography have the anthropologist going off into “the field” to encounter “the native.” How is the project of ethnography altered when one's field site is one's own city? This paper draws on fieldwork in a Canadian city to probe the entailments of conducting anthropological research in one's own backyard, throwing the conventional understanding of the ethnographer into question. What does this type of encounter reveal about the Othering process that is so often inherent in the ethnographic project? Unexamined notions of the anthropologist's role are challenged in ways both necessary and unnerving, blurring conventional boundaries of home and field. Such “dis-orientalization” is crucial to reaching a more honest position vis-à-vis the individuals and communities to whom ethnographers bring their questions. The various confusions it presents are generative. By foiling attempts at tidy categorizations, these encounters speak of the multiplicity and fluidity of lived religious identities and experiences.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.046 | 0.028 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".