The Classes of Old English Inaction Verbs: Linking, Alternations and Constructions
Bibliographic record
Abstract
This thesis deals with the syntax and semantics of Old English. To be more precise, it focuses on a group of verbs that can be called inaction verbs (roughly corresponding to Present-Day English end, try, fail, forbid, hinder and refrain) and aims at determining the class membership of these verbs. This is done on the basis of the meaning components and the grammatical behaviour of the verbs in question, including the syntactic constructions and the argument realization alternations in which these verbs are found. The theoretical model draws on Role and Reference Grammar and the framework of verb classes and alternations. The data are gathered from various lexicographical and textual sources of Old English and checked against the syntactic parsing provided by the York-Toronto-Helsinki Parsed Corpus of Old English. The main conclusions are drawn on the questions of class membership, constructions and alternations. Conclusions are also reached with respect to variation and competition
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".