Bibliographic record
Abstract
This article considers the rise of provenance in nineteenth-century Europe through a case study of manuscript research. In the early 1850s, Benedictine scholar Beda Dudík was sent to Stockholm and Rome by the Committee of the Moravian Estates in Habsburg Austria to trace manuscript objects abducted from Moravia (Mähren) by Swedish commanders during the Thirty Years’ War (1618–1648). This article considers Dudík’s work with the manuscripts by combining perspectives from book history with those of the history of historiography and the history of ideas and science: I examine the ways in which Dudík worked with classification, and how this work was influenced by source fetishization. Dudík’s work with the manuscripts, recorded in his publications and notes, reveals that provenance is a transformable epistemic category. Moravian interest in provenance reflects their sense of scholarly inferiority, and the changing view of heritage as a public matter, collectively fetishized. In conclusion, the Moravian case illustrates just how significant historical materiality was to people of marginal lands, as inquiries into provenance can be a means of asserting historical existence.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.110 | 0.279 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.010 | 0.016 |
| Science and technology studies | 0.012 | 0.016 |
| Scholarly communication | 0.031 | 0.021 |
| Open science | 0.004 | 0.013 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.073 | 0.023 |
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".