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 The author surveys 2 major phenomena in Armenian phonology. The first is schwa epenthesis in Western Armenian, which is known to break up the impressive consonant clusters of the language. Before looking at the synchronically epenthetic schwas in Western Armenian, it is important to first distinguish schwas that are unambiguously part of lexical representations then to recognize schwas that have led, over time, to different allomorphs. A fourth category is left to explain: schwas that break up attested clusters, but only in derived morphological environments. After listing known facts about the syllabic nature of Armenian, the author shows that motivated prosodic specifications can account for the derived environment schwas (simplifying somewhat the previous account by Vaux, ). The second phonological phenomenon surveyed is the voicing and aspiration patterns found in Armenian dialects. While the patterns neatly divide the linguistic domain into seven groups, the standard classifications rely on present‐tense formation as a primary divider between larger groups of dialects. The author, however, highlights that the phonological division between voicing and aspiration patterns should be considered a more fundamental one, once textbook notions of geolinguistics are applied to reduce the 7‐way division to a more ancient 3‐way division of dialects. Indeed, sound change is a more common type of innovation used for grouping related languages and dialects, and the territorial divisions thus obtained correspond to more ancient political divisions than the morphological ones.
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 | 0.000 |
| 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 it