Bibliographic record
Abstract
Scholars studying medieval manuscripts work in a variety of disciplines, from literary atudies to history to linguistics to art history to classics. Publications in all these areas use manuscripts and offer important findings about medieval manuscripts. In addition to its practice within different fields, much of the study of medieval manuscripts is strongly interdisciplinary, using techniques native to the study of the medieval book like codicology and paleography, alongside text critical-methods originally developed in classics and refined there, in literary studies and in history, visual analysis pioneered in art history, and philological methods now found in literary studies and linguistics. Insofar as the study of medieval manuscripts has a unified goal, it is to describe and explain the production and use of manuscripts and the textual culture associated with them, generating primary data that assists in the writing of literary, cultural, and linguistic history. Given the breadth of the field, this Oxford Bibliographies entry must necessarily be selective. It focuses primarily on manuscripts of British and Irish literature in English (manuscripts of texts in Irish, Welsh, and other Celtic languages being specialist fields of study in their own right). As a consequence, the vast majority of the material listed is in English, though scholarship on medieval manuscripts is also published in French, Italian, and German, as well as other languages. After sections devoted to General Overviews, Reference Works, Textbooks, Anthologies, Bibliographies and Journals, the bibliography presents lists of Catalogues of Manuscripts and Facsimiles, which are two of the most important tools for medieval book historians. It finishes with lists of works relevant to the major subdisciplines of medieval book history, Codicology (the study of the physical structure of manuscripts); paleography, the study of Scripts used in those manuscripts; as well as studies of Scribal Practice and Manuscript Culture; and works concerned with Ownership and Provenance.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.091 | 0.015 |
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".