A descriptive analysis of the grammar and variable pronunciation of 'there' and the non-standard there-tag in Bathurst English
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Bibliographic record
Abstract
This study is a descriptive analysis of the occurrence of the sociolinguistic variables of pronunciation associated with all forms of ‘there’ and Non-Standard There-tag (NST-tag) in Bathurst English. Participants were interviewed and the occurrences of ‘there’ were obtained through the use of sociolinguistic interviews with 15 speakers. The incidences of ‘there’ were sorted based on grammatical category and pronunciation and were subsequently analyzed based on age and gender. The results indicate that older speakers use non-standard pronunciations of ‘there’ more than younger speakers and they also use NST-tag more than younger speakers. Younger speakers mostly use standard pronunciations of ‘there’ and use NST-tag very little. This may indicate age and gender grading or a change in progress in that vernacular is giving way to more standard speech in this community.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it