Bibliographic record
Abstract
Little descriptive work has been done on the place and voicing restrictions of the asymmetrical velar and uvular consonant inventory in Kazakh. In Kazakh, velar and uvular consonants are restricted depending on their neighbouring vowel. Velars appear in front vowel environments and uvulars appear in back vowel environments (place restriction). Voiced and voiceless velars and uvulars are restricted depending on their position in the word. At the morpheme boundary, velars and uvulars are voiceless in the word-final position and voiced in the stem-final position, when followed by a vowel-initial suffix (voicing restriction). The results from elicitation-based production experiments with six native Kazakh speakers reveal that the place restriction is not productive from real words to nonce words but the voicing restriction is. The data suggests a derived-environment effect where the resulting voicing process is conditioned morphologically. A theoretical analysis within Optimality Theory captures the voicing pattern using an indexed-markedness constraint and Local Conjunction.
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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 | 0.002 |
| 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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".