Prosodic phrasing in NXA?AMXCÍN (Salish) declarative clauses
Bibliographic record
Abstract
The article reports results from a pilot study of the phonetic correlates of declarative clauses from a narrative in Salish. There is a small but growing body of research describing the properties of prosodic phrasing in Salish languages. While seminal research on prosodic phrasing in English and Japanese is based on targeted elicitations, work on prosody in endangered languages often comes from varying sources. The maximum FO of stressed, phrase-initial and -final vowels of the target phrase, as well as the final vowel of the preceding phrase were measured. If pitch was higher than that of either surrounding vowel, it was considered a pitch peak. Phrase boundaries were correlated with a L% initial and final tone, provided the boundary vowels were not stressed. About 89% of phrases with unstressed boundary vowels were associated with a L%, while 91% of phrases with a stressed boundary vowel showed no rise or fall.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".