Bibliographic record
Abstract
I first met Linne Mooney in 1974 at the University of Toronto, where I had been invited to give a lecture and where she was newly embarked on a Ph.D. She was very young. Later she took up a post at the University of Maine in Orono, and when I left York to go to Harvard in 1985 I began to see more of her when she came down to attend our weekly medieval seminar, and on other occasions. At this time she was preparing an edition of the Kalendarium of John Somer, which was published in 1998 in the Chaucer Library Series. She was also working on some of the most complex and difficult of fifteenth-century literary manuscripts, most of them miscellanies, almost as if she were choosing them because they were difficult and therefore more interesting. She gave a talk at the Harvard seminar on one occasion about the lyrics in the famous miscellany in Cambridge, Trinity College, MS R.3.19, beginning to make proper sense of them for the first time. She was also doing ongoing and never-ending work on the many manuscripts of Lydgate's Verses on the Kings of England , trying to establish some sort of order and coherence to their bewildering variety. Lydgate's Verses is not a work of great literary interest, to say the least, but Linne was not much worried by this, in fact she seemed to revel in it. I had to learn that my own interest in manuscripts, chiefly as valuable repositories of important literary texts, was not everyone’s. I went to a talk a long time ago by one of Linne's eminent predecessors as a codicologist and palaeographer, devoted to a description of a particular MS. I asked her afterwards, in my old-fashioned way, what was the text in the MS? ‘I don't know’, she said, ‘I don't do that sort of thing’. In 1999 I organised a conference at Harvard called ‘New Directions in Medieval Manuscript Studies’, and one of the speakers I invited, keen to give her a larger hearing, was Linne. Her talk was about her work in identifying the hands of fifteenth-century vernacular scribes which appear in more than one manuscript.
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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 | 0.002 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.282 | 0.402 |
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".