Quellenerschließungsarbeiten am Beispiel des Herzoglich Preußischen Briefarchivs (HBA)
Bibliographic record
Abstract
The Ducal Prussian Letter Archive (HBA) can be compared in its historical significance to the Vatican Archives or the great dynastic archives of Europe. It represents the continuation of the Order’s Letter Archive (OBA). Like its predecessor, the HBA primarily preserves unbound records. Charters are rarely to be found among these holdings; instead, the collection largely consists of incoming and outgoing correspondence, financial accounts, reports, and so-called “news” (Zeitungen). Outgoing correspondence has often survived in the form of drafts, which are palaeographically demanding.Closely connected to the HBA is a series of books known as Registranden or letter-books, which contain copies of both incoming and outgoing correspondence. As these have generally been transmitted exclusively in written form, they can be of considerable value for archival research. The Registranden belong to the so-called “East Prussian Folios” (Ostpreußische Folianten, abbreviated Ostpr. Fol.), which continue chronologically after the “Order Folios” (Ordensfolianten, abbreviated OF).The HBA is organized into departments (A–K) according to geographical and thematic pertinence. These departments are subdivided numerically, alphanumerically, or by means of lowercase letters (e.g., A.1. or J.1b). With approximately 117 linear meters of material, Department A ranks among the most extensive sections of the HBA.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.150 | 0.051 |
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".