Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,008 | 0,002 |
| Communication savante | 0,011 | 0,008 |
| Science ouverte | 0,003 | 0,005 |
| Intégrité de la recherche | 0,007 | 0,013 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,282 | 0,402 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».