<i>Certamen</i>, Interpretation, and Ovidian Narration in<i>The Faerie Queene</i>III.ix–xii
Bibliographic record
Abstract
Considering the “vile Enchaunter” Busirane as an Ovidian author, and using his tapestries as a point of reference, this paper probes the dynamics of Ovidian discourse in The Faerie Queene III. Cantos ix–xii form a discrete narrative unit within the larger book, and, in these cantos, we find three distinct Ovidian voices: those of Paridell, Busirane, and the narrator. These voices—which compete both against one another and their literary precedents for hermeneutic supremacy—contribute to the poem’s tangible Ovidian spirit. Using Ovid’s character-author and textual critic Arachne as a model for all later interpreters of Ovidian text, this paper investigates the idea that interpretation necessarily relies upon certamen. A consideration of Paridell’s and Busirane’s literal responses to and reproductions of mythological caelestia crimina helps to elucidate not only how Ovidian irony works in Book III’s narrative polyphony, but also how the ostensibly discordant Ovidian voices in Cantos ix–xii cumulatively contribute to Book III’s metaliterary self-consciousness.
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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 | 0.016 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".