A study of laryngeal gestures in Mandarin citation tones using simultaneous laryngoscopy and laryngeal ultrasound (SLLUS)
Bibliographic record
Abstract
In this work, Mandarin tone production is examined usingsimultaneous laryngoscopy and laryngeal ultrasound(SLLUS). Laryngoscopy is used to obtain information about laryngeal state, and laryngeal ultrasound is used to quantify changes in larynx height. With this methodology, several observations are made concerning the production of Mandarin tone in citation form. Two production strategies are attested for low tone production: (i) larynx lowering and (ii) larynx raising with laryngeal constriction. Another finding is that the larynx rises continually during level tone production, which is interpreted as a means to compensate for declining subglottal pressure. In general, we argue that larynx height plays a supportive role in facilitating f0 change under circumstances where intrinsic mechanisms for f0 control are insufficient to reach tonal targets due to vocal fold inertia. Activation of the laryngeal constrictor can be used to achieve low tone targets through mechanical adjustment to vocal fold dynamics. We conclude that extra-glottal laryngeal mechanisms play important roles in facilitating the production of tone targets and should be integrated into the contemporary articulatory model of tone production.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".