'Wissen Söllen Alle Säligen' A Manuscript of the<i>Hoheliedauslegung 'Meliora Sunt Ubera Tua Vino'</i>at the Houghton Library, Harvard University
Bibliographic record
Abstract
The Song of Songs inspired a variety of commentaries and literary responses by medieval Latin and German authors. There has been comparatively little study, however, of the late medieval commentaries written in German. MS Ger 44 at the Houghton Library contains such a piece of late medieval vernacular Song of Songs exegesis, the fifteenth-century monastic Hoheliedauslegung 'Meliora sunt ubera tua vino'. While this and other manuscripts stem from Southern Germany, there seems to have been a marked concentration of the textual tradition in Thuringia. Its three parts consist largely of catechetic compilations and exegetical meditations on topics central to monastic life and faith. The Latin verses from the Song of Songs cited at the beginning of many chapters provide the occasion for these compilations and meditations, rather than forming the basis for a systematic exegesis of the scriptural text.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.005 |
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".