Bibliographic record
Abstract
Abstract In the Manchu languages, contrast plays an important role in the patterning of vowel systems. Contrastive feature values are phonologically active, triggering rules of Advanced Tongue Root (ATR) and labial harmony, whereas redundant feature values are phonologically inert. To determine which feature values are contrastive in any given segment, it is necessary to establish an ordering of features. This ordering, or contrastive hierarchy, determines the relative contrastive scope of each feature. Our analysis of the Written Manchu contrastive hierarchy is supported by synchronic and diachronic evidence from Spoken Manchu and Xibe, where a realignment of vowel contrasts results in new patterns of phonological activity. We show that our analysis is consistent with the observed typology of ATR and labial harmony systems. We argue that the concept of phonological contrast does not reduce to a phonetic function, nor is it perceptually based. The relationship between contrast and underspecification is considered, and it is shown that constraint-based theories (such as Optimality Theory) do not constitute alternatives to the theory of contrast proposed here.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".