Bibliographic record
Abstract
Abstract In this introduction, we outline a comparative tool for studying communicative ideologies and practices, which we call ‘religious suasion’. Developing a conversation about religious forms of ‘suasion’ is important because it provides a vocabulary for comparing parallel practices of religious influence across different religious communities, allowing for more nuanced understandings of what might commonly – and negatively – be termed ‘proselytizing’. The proposed analytical frame is not concerned with how the ‘convert’ might experience religious change, nor with how social and religious change unfolds on a grand scale. Rather, it interrogates and puts into dialogue multiple forms of discursive practice, demonstrations of virtue, and material forms of religion to reach beyond suasive strategies based on formal doctrines about religious propagation that tend to be associated with traditionally evangelistic religious communities, especially with Christianity. Focusing on the rhetorical strategies, religious imaginaries, and ethical evaluations that underpin how religious actors pursue change in others and in and of the world, ‘religious suasion’ contributes to the development of an anthropology of influence.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.035 | 0.008 |
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".