Toward equality: Including non-human animals in studies of lived religion and nonreligion
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article explores how sociologists of religion can respond to 'the animal turn' in studies of lived religion and nonreligion. We begin by considering how sociology has neglected the place of non-human animals and the 'more than human' in social life. We then turn to the sociology of religion, where animals have often been devalued or ignored as irrelevant to understanding religion in society. We argue that it is necessary to consider the ways in which human activities are shaped by non-human animals. This does not mean that animals should be thought of as nonreligious or religious. We contend that the failure to incorporate non-human animals in sociological considerations of religion and nonreligion replicates a hierarchical model, which sees human life as above or higher than non-human life and calls our attention to the place of sociological research amid the climate crisis.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it