Bibliographic record
Abstract
Der Aufsatz behandelt die Hebraica-Bestände in der Landes- und Universitätsbibliothek Halle-Wittenberg. Neben den schon bekannten Beständen der Bibliothek der Deutschen Morgenländischen Gesellschaft (DMG) werden hier zwei weitere Bücherbestände vorgestellt: die Altbestände, die aus der Wittenberger Universitätsbibliothek stammen, und die seit 1992 neu und antiquarisch erworbenen Bücher, bei denen die Sammlung »Hayyim Hominer« eine besondere und zentrale Stellung einnimmt. Die Altbestände aus Wittenberg bestätigen sowohl das philologischhebraistische Interesse der Wittenberger Universität, als auch eine antiquarische Vorliebe für das nachbiblische und mittelalterliche Judentum. Die Sammlung »Hominer« beinhaltet vor allem Bücher über rabbinische Exegese (Aggada und Halakhah). This article describes the Hebraica collections of the State and University Library of Halle-Wittenberg. In addition to the already well-known collections of the Library of the Deutsche Morgenländische Gesellschaft (DMG; German Oriental Society), two further book collections are described here: The historical holdings of the Wittenberg university library and books acquired since 1992,either new or from antiquarian sources. Among the latter, the Hayyim Hominer Collection forms a special and central position.The historical collections in Wittenberg attest to a philologicalhebraic interest at the university as well as to a preference for post-biblical and middle-aged Judaism. The Hominer Collection mainly consists of books about rabbinical exegesis (Aggada und Halakhah).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.007 |
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".