Tongue displacement and durational characteristics of normal and disordered Brazilian Portuguese liquids
Bibliographic record
Abstract
The goal of the present study was to characterize normal and disordered Brazilian Portuguese liquids. The research hypotheses were that disordered liquid sounds would be characterized by (1) longer syllable and segment durations, (2) larger and more undifferentiated displacement of the tongue and (3) that the speech errors would show sub-phonemic differences depending on the target sound. The participants of this study were 11 children with phonological disorders and 9 control participants matched for age and educational background. The children's tongue movement in the sagittal plane was recorded with ultrasound. The speech stimuli consisted of 3 repetitions of 5 words representing the four Brazilian Portuguese liquids /l/, /ʎ/, /ɾ/ and /ʀ/ in the context of the vowel /a/. A panel of four listeners transcribed each of the productions and classified them as correct or incorrect. The outcome measures were based on duration (syllable duration, ratio L/V) and tongue displacement (percentage average displacement, anterior displacement, posterior displacement). Based on mixed model analyses of variance, the first research hypothesis was confirmed for the /l/ and /ɾ/ targets, but not for the /ʀ/ and /ʎ/ targets. The second hypothesis was partially confirmed. The third hypothesis was confirmed. The research serves to illustrate the effects of phonological disorder on the phonetic realisation of Brazilian Portuguese liquid sounds.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".