Mora Insertion in Tetsot’ıne: apparent cases of under- and overapplication
Bibliographic record
Abstract
Tetsǫ́t’ıné is a dialect of Dëne Sųłıné (ISO: CHP) spoken in Canada’s Northwest Territories. In Tetsǫ́t’ıné, prefix vowel length is subject to a complex set of conditions. The basic generalization is that when a consonant is deleted at the same level that a preceding prefix is added, a short vowel results; whereas when a prefix is added first, and an intervocalic consonant deletes at a later level, a long vowel results (Jaker 2022). This paper addresses two apparent counterexamples to this generalation—that is, cases of exceptional long and short vowels, which may be thought of as overapplication or underapplication of mora insertion. In optative paradigms, the consonant ɣ lenites to w in the singular forms at Level 3. w then deletes at Levels 4 and 5, resulting in a short vowel following Level 4 and 5 prefixes. Conversely, the prefixes θe and ɲe are preceded by a null vowel lexically pre-associated to a High tone. This null vowel acquires a mora at Level 2, thus resulting in an exceptionally long vowel when the initial consonants of θe and ɲe are deleted following a Level 4 prefix.
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How this classification was reachedexpand
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".