A FEMININE TYPOLOGICAL TRINITY IN PROBA'S <i>CENTO VERGILIANVS</i> 380–414
Bibliographic record
Abstract
Abstract The mid-fourth-century c.e.Cento Vergilianus de laudibus Christi retells the biblical story using cento technique (recombining excerpted lines and partial lines from Virgil into a new poem). Its author, the Christian poet Faltonia Betitia Proba, states that her aim in writing the Cento is to demonstrate that Virgil ‘sang the pious deeds of Christ’ (Vergilium cecinisse … pia munera Christi). Her compositional strategy reflects the exegetical method of typology, as explored in detail by Cullhed: by reusing particular Virgilian verses for biblical characters, Proba creates an implicit typological relationship whereby a Virgilian type both prefigures and is fulfilled by a biblical antitype. This paper first presents an extended model of typology, whereby the type not only prefigures the antitype but also enfigures it, providing the reader with a novel conceptual paradigm through which to understand a particular supernatural reality. The paper then turns to a case study: the baptism scene (380–414), the only passage in the Cento depicting all three members of the Trinity. For each, Proba reuses passages which in the Aeneid describe female characters, hinting at a feminine typological Trinity, one which highlights often-overlooked aspects of the three Christian antitypes. In so doing, she convincingly advances her thesis that Virgil's poetic works reflect typological correspondences to the Christian narrative in a similar way to Old Testament prophecy.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".