Collation Model for LJS 267: De ludo schacchorum seu de moribus...
Bibliographic record
Abstract
Compilation, mostly in Latin, of religious, literary, historical, and natural-historical works, including classical and contemporary selections, as well as letters by humanist writers Francesco Petrarca and Donatus Albanzani. Over a quarter of the manuscript is devoted to the De ludo scachorum of Jacobus de Cessolis, a collection of sermons about the proper relationships between a king and various classes of subjects, compared to the rules of chess (f. 1r-56r). Other moderately substantial texts include descriptions of various geographic regions from Honorius of Autun's De imagine mundi (f. 61r-71r); a brief history of the Roman civil wars (f. 71v-92r); and the Computus of Bono da Lucca, which deals with the calendar, lunar cycles, and calculations for determining the date of Easter (f. 109r-124v). The manuscript is a palimpsest, with the lower text from the 14th century, probably legal.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.543 | 0.401 |
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".