Bibliographic record
Abstract
There was no shortage of women in Edward VII’s life. Prominent mistresses there were aplenty: Sarah Bernhardt, Lillie Langtry, Daisy Warwick, Minnie Stevens Paget, Mary Cornwallis‐West, Alice Keppel, and Alberta Olga Caracciolo (the Baroness de Meyer). These were seated together with special Coronation privileges. Louise Antrim, a lady‐in‐waiting to the complaisant Princess Alexandra, observed acidly in her diary: “The Princesses were seated in the chancel, looking extremely well with all their crowns on the edge of the boxes. Just over them was the ‘loose box’—& well‐named it was—to me the one discordant note in the Abbey—for to see the row of lady friends in full magnificence did rather put my teeth on edge.” A “loose box” according to the racing fraternity was a stall in which horses are not restrained. Stanley Weintraub, biographer extraordinaire , offers an engaging commentary on the affairs and intrigues of the priapic prince with these women.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".