Transphonologization of voicing in Chru: Studies in production and perception
Bibliographic record
Abstract
Chru, a Chamic language of south-central Vietnam, has been described as combining contrastive obstruent voicing with incipient registral properties (Fuller, 1977). A production study reveals that obstruent voicing has already become optional and that the voicing contrast has been transphonologized into a register contrast based primarily on vowel height (F1). An identification study shows that perception roughly matches production in that F1 is the main perceptual cue associated with the contrast. Structured variation in production suggests a sound change still in progress: While younger speakers largely rely on vowel height to produce the register contrast, older male speakers maintain a variety of secondary properties, including optional closure voicing. Our results shed light on the initial stages of register formation and challenge the claim that register languages must go through a stage in which breathiness or aspiration is the primary contrastive property (Haudricourt, 1965; Wayland & Jongman, 2002; Thurgood, 2002). This article also complements several recent studies about the transphonologization of voicing in typologically diverse languages (Svantesson & House, 2006; Howe, 2017; Coetzee, Beddor, Shedden, Styler, & Wissing, 2018).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".