Tracking the phonological status of /l/ in Newfoundland English: Experiments in articulation and acoustics
Bibliographic record
Abstract
This paper investigates patterning of /l/ in Newfoundland English. Using acoustic and ultrasound methods, the reported displacement of the traditional Irish pattern of word-final light /l/ is assessed. Acoustic results show darker /l/'s in word-final position in both phrases and compounds. Although the standard allophonic pattern is widespread in Newfoundland English, dialectal variation arising from early settlement patterns continues to influence speech patterns with less distinction between initial and final /l/ in Irish-settled areas. Men show relatively less distinction between initial and final /l/, consistent with sociolinguistic patterns in which men retain local variants. Last, light /l/ in final position may be resurfacing among younger speakers. Ultrasound imaging also shows variable rates of distinction between word-final and initial /l/, but without significant main effects of region or gender. Articulatory analysis reveals a small effect of age, with older speakers being less likely to have significant differences in articulation across positions. An interaction between region and gender shows males from an Irish-settled community are less likely to employ distinct lingual shapes across positions. While some articulatory findings complement the acoustic results, it is suggested that differences between these domains result from lateralization or other aspects of articulation not captured in ultrasound imaging.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".