Bibliographic record
Abstract
Punjabi has three tones, the falling and the rising tones developed due to the historically lost voiced aspirated consonants and word-final glottal fricative /ɦ/, and the default tone occurred elsewhere. While there has been some experimental research on Punjabi tones, there have been limitations due few stimuli and speakers. The main aim of the current study was to provide a phonetic examination of the fundamental frequency (f0) patterns across a large number of Punjabi words produced by multiple speakers. The experiment was conducted online using 24 native speakers (9F, 15M) of Indian Punjabi. The list of stimuli contained 66 monosyllabic words (default = 18, falling = 15, rising = 33) with either /a/ or /ə/. The speakers were recorded producing the stimuli in carrier and natural sentence environments. Linear mixed effects analyses were conducted on six f0 measures: the onset, mid, and offset of the vowel, the f0 range (MaxF0-MinF0), and the f0 trajectory in the first (MidF0-BegF0) and final (EndF0-MidF0) halves of the vowel. The results confirmed three distinct pitch curves for the three tones. Each of the three tones were distinguished from one another for the onset f0 and the EndF0-MidF0 measures. Vowel quality influenced tone realization. Between-speaker and word variation was observed.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".