Rendering Trauma Beneficial… for Whom? Gregory of Nyssa’s Homily 12 on the Song of Songs
Bibliographic record
Abstract
Gregory’s Homily 12 on the Song of Songs offers one opportunity to trace the legacies of the compelling claim, in Galatians 6:17, that Paul bears “the marks of Christ” on his body. Gregory appeals to this verse to aid his exegesis of Song 5:7 (a violent passage he calls “repellant in its plain sense”) and develop his claims that “the wound”, after all, is “an admirable thing”. My paper probes social and ethical dimensions of this exegetical and cultural conceptual lineage. It surveys wounds and marks in Homily 12; suggests how other works by Gregory support “striking and wounding” as enacting spiritual healing (ἴασιν); considers contexts for violence in the name of guardianship and instruction in late antiquity; and closes by considering violence enacted in the name of Christianization and “civilization” in Canada’s residential schools. This study embeds Gregory’s treatment of Gal 6:17 in a larger attempt to raise critical questions about the persistence of benevolent understandings of trauma and violence across diverse Christian exegetical contexts and the harms such understandings may perpetuate.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.031 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".