The Syntax of Prenominal and Postnominal Adjectives in Old English
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This book is the first monograph which provides a comprehensive discussion of the syntactic behaviour of Old English (OE) adnominal adjectives. Drawing on the empirical data retrieved from the York-Toronto-Helsinki Parsed Corpus of Old English Prose (Taylor, Warner, Pintzuk & Beths 2003), the author proposes an analysis of OE adjectives by means of a theoretical apparatus couched in the framework of Chomsky's generative grammar. The analysis incorporates the following properties of OE adjectives: * their inflectional patterning, i.e. whether adjectives take weak and strong inflectional endings * the so-called adjective stacking, i.e. whether adjectives can occur in uninterrupted strings * the surface placement with respect to their complements * the surface placement with respect to the nominal head The author observes that the differences between prenominal and postnominal adjectives go far beyond the superficial difference in their surface placement. She argues therefore that the two types of adjectives require two different theoretical treatments. The volume consists of five chapters. It is supplemented by four appendices and an extensive bibliography.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it