Religious Faith in the Unjust Meantime: The Spiritual Violence of Clergy Sexual Abuse
Bibliographic record
Abstract
Clergy sexual abuse is both sexual and psychological violence, but it is also a paradigmatic case of spiritual violence that rises to the level of religious trauma. In this paper I argue that the spiritual violence of clergy sexual abuse diminishes, and in some cases may even destroy, a survivor’s capacities for religious faith or other forms of spiritual engagement. I use and illustrate the value of feminist methodology, as developed and advanced by Alison Jaggar, for generating and pursuing philosophical questions about religious experience. Feminist methodology’s sensitivity to theorizing situated subjects who stand to each other in relations of racialized male dominance helps us see the ways in which clergy sexual abuse is gender-based violence in both its causes and effects. It also helps us both ask and answer questions about religious faith in the unjust meantime from the perspective of those who endure spiritually violent faith communities.
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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 | 0.002 | 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 | 0.000 | 0.001 |
| 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".