The semantics and syntax of Old English verbs of change of state: depriving, increasing, and learning
Bibliographic record
Abstract
Esta tesis doctoral trata del léxico verbal del inglés antiguo desde una perspectiva sincrónica con el objetivo de estudiar el enlace entre la semántica y la sintaxis de tres clases de verbos del inglés antiguo que implican un cambio de estado: privación, incremento y aprendizaje. El marco teórico en el que se basa este trabajo es el de las clases verbales y la Gramática del Papel y la Referencia. Los datos para el ánalisis han sido extraidos de dos fuentes textuales (Dictionary of Old English Corpus y York-Toronto-Helsinki Parsed Corpus of Old English) y varias fuentes lexicográficas que incluyen diccionarios, diccionarios electrónicos, tesauros y bases de datos léxicas. Las conclusiones principales obtenidas de este estudio tienen que ver con la coherencia de las clases verbales de privación y de incremento en inglés antiguo en lo que se refiere a las alternancias y las construcciones en las que estos verbos participan, y con la flexibilidad de la Gramática del Papel y la Referencia, puesto que permite un análisis teórico de orientación semántica de los verbos de aprendizaje del inglés antiguo.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".