Two graphical models for the analysis and comparison of cartularies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it