[Bookplate for David Stewart Erskine]
Bibliographic record
Abstract
This bookplate consists of an escutcheon, quartered per cross, and contains an inescutcheon. The first quarter, azure (blue), contains three garbe, two over one. The second quarter is itself quartered per cross, first and fourth quarters, azure with an or (gold) riband and six cross crosslets fitchy sable (black) ; the second and third quarters are argent (silver), with a pale, sable. The third quarter of the escutcheon is also itself quartered per cross, first and fourth quarters, or, with a fess in checky (alternate squares of metal and fur), argent and azure ; the second and third quarters are azure, containing three garbe, two over one. The fourth quarter, argent, with six bars, gemelles (doubles), contains a lion rampant, sable and proper. The inescutcheon, gules (red) contains an eagle, displayed and proper, and a ray of sun issuing out of the dexter corner. Atop the escutcheon is the coronet of an earl, topped by a grated helmet (peer), dexter. Upon the helmet is a curved crest wreath and a dexter cubit arm holding a club. From either side of the crest flows elaborate mantling. The escutcheon is accompanied by two supporters. The dexter supporter is an ostrich, while the sinister supporter is a griffin. Below the escutcheon and the supporters is a banner containing the English motto.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.629 | 0.577 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".