Bibliographic record
Abstract
Abstract What if giving offerings matters not because of beliefs about appeasing the gods or the powers of nature, but because it gives people a sense of relatedness with the world that inspires them to care for it? Practices dismissed as outmoded superstition may play a critical role in shaping people’s sense of what matters and how we should comport ourselves. Making toasts, giving gifts, and making offerings matter to contemporary Heathens, and these practices contribute to their sense of how they should relate with others, including ecological relations. In Wyrd Ecology, Barbara Jane Davy presents an ethnography of contemporary Heathen gifting rituals in Canada that shows how such practices can contribute to the development of ecological conscience. Based on two years of participant observation and interviews with practitioners, Wyrd Ecology is well-grounded both in first-hand experience and the academic study of ritual, religion, and ecology. Giving gifts and expressing thanks in ritual in this community inspires in participants a sense of gratitude and a desire to give in turn. Among these Heathens this gratitude and felt sense of obligation extends beyond human relations to include all relations in the more than human world, or what Heathens understand as “wyrd.” Wyrd Ecology is the first ethnography of Heathen gifting rituals, the first study on contemporary Heathenry and environmentalism, and the first published in-depth study of Heathenry in Canada. It offers a unique interpretation of how ritual practices can inspire ethical and ecological behavior.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.281 | 0.059 |
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".