Christianity and reverential naturalism engage a world in peril: A dialogue between disciplines
Bibliographic record
Abstract
Christian theologians and ostensibly secular sociologists of religion rely on different resources to respond to personal, local, or global problems. The environmental crises we see around the world reflect a strict hierarchy between human beings and the natural world. In both the theological and social scientific arenas of the last few decades, however, we see an 'animal turn' that exposes the hubris of anthropocentrism and creates opportunities for new ways of writing and teaching about the natural environment. Using the Pacific Northwest's 'reverential naturalism' as a touchstone, the authors reflect on the extent to which their respective fields prepare secular scholars and theologians to address the crises all animals - including humans - now face. Using a dialogue format, they explore whether theological and social scientific regimes of truth and knowledge are incommensurable. What might this mean for the region and the two fields out of which they authors emerge?
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.075 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.005 | 0.010 |
| 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".