Two graphical models for the analysis and comparison of cartularies
Bibliographic record
Abstract
This paper presents and discusses two of a number of methods for the computer-aided analysis of cartularies that are currently under development at the Instituto de Historia – CSIC. The first one, which we call the Order/Date Model, is oriented to the integral visualization and analysis of an individual cartulary as a project. The second, which we call the Order/Order Model, is applied to pairs of cartularies that share at least part of their contents, and is aimed at revealing to what extent the most recent one made use of the oldest. Our method is based upon a relational database that stores all the information about the cartularies and a number of statistical graphs that generate a two-dimensional grid (the Order/Date or the Order/Order grids) upon which additional variables can be displayed. Our method draws on traditional codicological and palaeographical methods of analysis, but it represents a significant development, as it allows to visualize in an intuitive way very complex phenomena that are otherwise hard to grasp or difficult to analyze manually.
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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 | 0.005 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.011 | 0.008 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".