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
Abstract Dresher & Lahiri (1991) propose that Old English displays ‘metrical coherence’: different phonological processes are sensitive to the same metrical structure. We consider how English has dealt with challenges to metrical coherence. We show that the resolved moraic trochee, assumed to characterize the early Old English foot ( Bermúdez-Otero manuscript ; Goering 2016a , b ), became untenable after the shortening of unstressed vowels, arguing that this stage of Old English, at least, requires the Germanic Foot, an extended and resolved trochee. After 1570 ( Lahiri 2015 ) the direction of parsing changed from left-to-right to right-to-left when the number of Latin loanwords with stress-affecting suffixes had passed a threshold derived from Yang’s Tolerance Principle ( Yang 2016 ). This change reestablished the metrical coherence that had been disrupted by these words.
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 | 0.017 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.021 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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 it