“Ours is a Court of Papers”: Exploring Scotland and the British Atlantic World using the Scottish Court of Session Digital Archive Project
Bibliographic record
Abstract
This essay describes the Scottish Court of Session Digital Archive Project (SCOS), a multi-institutional collaborative research initiative into Early America and the British Atlantic world. Developed by the digital scholarship team at the University of Virginia Law Library, in partnership with colleagues at the University of Edinburgh, SCOS explores everyday life in the eighteenth and early nineteenth centuries through Session Papers, the printed documents submitted to Scotland’s supreme civil court during litigation. The project provides scholars, genealogists, and the public with open-access digital copies of Session Papers held by the UVA Law Library, the Library of Congress, and other institutional partners. By digitizing these documents, contextualizing them with comprehensive metadata, and providing users with interpretative entry points, SCOS is designed to foster new research on this formative period of Scottish, British, and American history.
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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 | 0.011 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.012 |
| Science and technology studies | 0.026 | 0.027 |
| Scholarly communication | 0.024 | 0.012 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".