Regional Phonetic Differentiation in Standard Canadian English
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Taking as a point of departure the preliminary view of regional phonetic differentiation in Canadian English developed by the Atlas of North American English, this article presents data from a new acoustic-phonetic study of regional variation in Canadian English carried out by the author at McGill University. While the Atlas analyzes mostly spontaneous speech data from thirty-three speakers covering a broad social range, the present study analyzes word list data from a larger number of speakers (eighty-six) drawn from a narrower social range, comprising young, university-educated speakers of Standard Canadian English from all across the country. The new data set permits a more detailed view of regional variation within Canada than was possible in the Atlas, which focuses on differentiating Canadian from neighboring varieties of American English. This view adds detail to the established account in some respects, while suggesting a revised regional taxonomy of Canadian English in others. In particular, this article reports on several phonetic isoglosses that divide Canada's Prairie region from Ontario, thereby splitting the “Inland Canada” region of the Atlas into western and eastern halves. In fact, the data presented here suggest a division of Standard Canadian English into six regions at the phonetic level, rather than the three proposed by the Atlas: British Columbia, the Prairies, Ontario, Quebec (Montreal), the Maritimes, and Newfoundland. This taxonomy corresponds to the six major regions identified in the study of lexical data reported in Boberg (2005b).
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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 | 0.001 | 0.144 |
| 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 | 0.000 |
| 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