Bibliographic record
Abstract
This paper presents a new perspective on the origin and development of the Mary-merry-marry merger, the conditioned merger, or neutralization, of mid and low front vowels before /r/ in dialects of North American English. The city of Montreal, Quebec represents one of very few regions in which this merger has not taken hold, despite the fact that a near-complete merger is found in the nearby rural region of Quebec’s Eastern Townships. This paper attempts to shed light on this puzzling geographic distribution using data from archival interviews conducted with Eastern Townshippers born between 1895 and 1915. An acoustic analysis of the vowels before /r/ is presented and compared with data from recent studies of Montreal English. Acoustic analysis of the mean values of the first and second vowel formants shows a great deal of variation in these speakers’ productions of the historically low front vowel before /r/. In some tokens it is clearly merged with the mid vowel, while in others the two phonemes remain clearly distinct. Further, this variation is found both between speakers and in the speech of individuals themselves. Although not entirely homogenous, the speech community does appear to share general norms with regard to which words are or are not merged. These results demonstrate that the merger was not a lexically abrupt sound change. Rather, the results are consistent with a theory of sound change via lexical diffusion, which implies a much longer timeline for this change than previously assumed, suggesting its origins may go back many more generations. As such, it is suggested that the current geolinguistic pattern of the merger may be traced to the different settlement histories of Montreal and the Eastern Townships.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.002 | 0.013 |
| Open science | 0.011 | 0.006 |
| Research integrity | 0.006 | 0.020 |
| Insufficient payload (model declined to judge) | 0.035 | 0.034 |
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; both teacher heads agree on what is shown here.
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".