Bibliographic record
Abstract
Abstract New religious movements (NRMs), which are often popularly and pejoratively labeled “cults,” frequently become the sites for a multitude of conflicting emotions; they are cultural lightning rods as much for anger, shame, and guilt as for joy, excitement, and a sense of release and relief. Throughout NRM narratives, however, whether primary sources or secondary, whether affirmative accounts of one's affiliation and conversion or post-affiliation critiques of the group in question, two principal affective aspects emerge: emotional fulfillment and emotional abuse. As a heuristic framework to consider these more specific aspects of emotion in NRMs, this article uses the trajectory of participation suggested by David Bromley's affiliation-disaffiliation model. In particular, it examines the roles played by emotion and affect in the recruitment processes of different groups, focusing on affective enticement, affective coercion, and affective bonding. It also explores the link between affect and religious practices, the confirmation of religious beliefs, disaffiliation, and post-affiliation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".