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.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".