On Her Lips, From God: Sexual Violence, Charismatic Speech, and Authority in Early Christianity
Bibliographic record
Abstract
This dissertation is a feminist historical literary analysis of select early Christian narratives in which epistemology and charismatic speech are linked to sexual violence: the Hypostasis of the Archons (HypArch), the Acts of Paul and Thecla (ATh), and the Acts of the Apostles (Acts). I read these narratives in broader debates within early Christ communities about whose charismatic speech could obtain divine status. I argue that sexual violability and assault figures into the texts’ representations of authority. Moreover, these sources rely on dominant ancient understandings of sexuality that normalized the sexual violability of marginal groups, including women, ethnic others, and enslaved persons. \nThe introductory chapter outlines my methodology, the context of speech and authority in early Christ assemblies, and dominant conceptions of sexuality and gender related to sexual violence. Chapter one addresses Eve’s rape in HypArch and shows how this sexual violence undermines her prophetic role and place in the text’s soteriological vision. In chapter two, I examine the narratives of Norea (HypArch), Eve’s daughter, and Thecla (ATh), and demonstrate that, though early Christian sources assume the normativity of sexual violence, they also imagine moments in which characters (in this case, high-standing women) could resists such violence. The final two chapters consider sexual violence, charismatic speech, and authority in the representation of three enslaved persons in Acts, the Ethiopian eunuch (Acts 8), the prophetic enslaved girl (Acts 16), and Rhoda (Acts 12). Reading these scenes in the context of the sexually violent nature of ancient slavery, I show how Luke’s rhetoric relies on the inherent sexualization of enslaved persons to bolster the image of the Way and the apostles while undermining the authoritative potential of these characters. \nThis dissertation reveals how some early Christian configurations of knowledge and charismatic power were tied to sexual status and often left the normalization of sexual violence unexamined. In making this assertion, I link understandings of sexual violence past and present that follow from the #MeTooMVMT, such as, how current victim/survivors are held in suspicion and how institutions and academic subfields, including early Christian studies, have been complicit in enabling a culture of predation.
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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 | 0.001 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".