The Lemma <i>De predicatoribus</i> in Iacobus de Benevento’s <i>Viridarium consolationis</i> : An Unexpected Preaching Tract in a Dominican Florilegium
Bibliographic record
Abstract
This article introduces editions of two distinct versions of a short Latin text on preaching that appears in an influential Latin florilegium. While the voice of the compiler is absent or minimal in the other topics covered by this anthology of authoritative quotations, the lemma De predicatoribus contains extensive original lines composed by the florilegist, Iacobus de Benevento (c. 1255/71). Because this florilegium was intended primarily as a resource for preachers to compose sermons, its reception in later texts probably includes some of those original lines authored by Iacobus, unwittingly disseminated in Latin and Romance language sermons and perhaps examples of ars predicandi along with the transmitted quotations, where they would likely be misattributed to major authors such as Gregory the Great.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".