Bibliographic record
Abstract
Serbian Archbishop Daniel II (ca 1270-1337) described the Vitae of the medieval Serbian rulers from the Nemanjic dynasty. Among these royal hagio-biographies, the presentation of the life of Queen Helen of Anjou stands out since she is the only woman whose life was inspirational enough for Daniel II to incorporate it into the sequence of rulers and archbishops of medieval Serbia. In his picture of Queen Helen, Daniel II heavily employs various wisdom motifs from the Bible, especially from the Book of Proverbs. Prov 31,1-9 occupies a very prominent place as the background for Queen Helen’s long admonition to her sons and future kings, Dragutin and Milutin. Daniel II emphasizes the main point of the motherly admonition in Prov 31,1-9 - the just adjudication of deprived people - to suit the historical milieu of the Serbian court by underlining the importance of just judgment for Helen’s sons, the future kings. Nevertheless, at the same time, Daniel II does not develop a copy-paste reception of Prov 31,1-9 into his writing but consciously omits those elements of the instruction of Prov 31,1-9 (especially the warning against relationships with numerous women) which might appear to criticize the multiple marriages of King Milutin during his long reign (1282-1321).
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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 | 0.002 | 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 | 0.015 | 0.009 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".