Bibliographic record
Abstract
A study was conducted to investigate the spectral properties of the Deg Xinag vowels, and the vowels that are significantly different in duration. Deg Xinag, an Athabaskan language spoken in western Alaska, has been described as containing certain vowel inventory, which are divided into high vowel phonemes and low vowel phonemes. Qualitative inspection of the spectral properties of the Deg Xinag vowels indicates that a low vowel phoneme similar to high vowel phonemes has a high volume allophone, which occurs surrounded by coronal consonants. Thereby, while Deg Xinag has no high vowel phonemes, there are phonetic high vowels. Statistical analysis indicates that the vowels of Deg Xinag can be divided into two sets, including a short set and a long set. Durational differences between the longer and shorter vowels of Deg Xinag are comparable to normative vowel duration data available for other Athabaskan languages, and support the reconstruction of Proto-Athabaskan as having full and reduced vowels.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".