Bibliographic record
Abstract
The occurrence of the Old English negative particle ne ‘not’ preceding a bare infinitive rather than a finite verb is a largely neglected or overlooked phenomenon. It is attested in constructions with uton ‘let's’ and in conjoined clauses with omission of the finite verb (Mitchell 1985). This article discusses evidence gathered mainly from the York–Toronto–Helsinki Parsed Corpus of Old English Prose , showing that it is a phenomenon that needs to be taken seriously in descriptions and analyses of Old English. It is argued that the factor shared by the two constructions is the lack of an available finite verb for ne to attach to. It is also found that the use of ne for the purpose of negative concord appears to be more variable with infinitives than it is with finite verbs. Whether attachment of ne to a non-finite verb in the absence of a finite one is restricted to bare infinitives is difficult to determine because of the limited evidence relating to other non-finite forms, but there are some indications that use of ne may have been possible with present participles. Finally, some implications that the ne + infinitive pattern has for the formal analysis of Old English are discussed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".