Bibliographic record
Abstract
The Nuosu (Nosu) Yi language, or Northern Yi (北部彝语), is spoken by approximately two million people in southern Sichuan Province and northern Yunnan Province, China, the majority of whom are monolingual. Yi is a member of the Yi Branch of the Lolo-Burmese subgroup of the Tibeto-Burman family (Benedict 1972/2009, Bradley 1979), which includes some 50 languages, also called the Nisoic languages (Lama 2012) or Ngwi Group. The large (5 million) ethnic Yi nationality groups of Yunnan Province are distantly related. The third author, Lama Ziwo, who was 31 at the time of recording, produced, translated and transcribed the recorded audio data phonemically and participated in the laryngoscopic filming of the video data. He is a native speaker of the Suondip/Suondi dialect, and a fluent speaker of the Shypnra/Shengza dialect. It is the Shypnra/Shengza standard dialect that is being represented in this paper. The most distinguishing phonetic feature of Northern Yi is its systematic vocal register contrast (Matisoff 1972, Dai 1990) between two settings of the laryngeal constrictor mechanism, which are referred to as a lax (unconstricted) series and a tense (constricted) series (Edmondson et al. 2000, 2001). The contrast is realized as a distinction in resonance (spectral quality) rather than as contrasting phonation types as in some other forms of Yi or in other Tibeto-Burman languages (e.g. Bai). The consonantal inventory is large, with complex vocalic interactions, including interactions with two pairs of fricativized vowels. Northern Yi has 43 initial consonants, five pairs of vowels (or syllable rhymes), and three tones: 55, 33, and 21. Relevant reports on voice quality in related languages can be found in Maddieson & Ladefoged (1985) and Sun & Liu (1986).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".