Crossroads at the linguistic market: Canadian raising and post-vocalic-R on Mount Desert Island
Bibliographic record
Abstract
Local identity practices are not as straight-forward as originally predicted \n(Labov 1972a, 1963). In this thesis, I build on previous work on local identity \npractices (e.g. Blake and Josey 2003), Josey (2004), Wolfram (1997) in an \ninvestigation of local feature maintenance and local identity practice on Mount \nDesert Island, a tourist-dependent community in Eastern New England. \nBased on analysis of interviews with 12 native speakers, I find that a local \nfeature, the dropping of post-vocalic-R is moribund in the community. The r-less \nvariant is maintained among older speakers. A gender and age pattern with a \ncapital pattern (Bourdieu 1972, 1986, 1991) was found. \nI also examine the community’s use of Canadian Raising (Chambers 1973). \nI find that /aj/ and /aw/raising are introduced to the community with a great \nrange of social variation as found in other communities in the northern US where \nraising is observed (e.g. Vance 1987, Dailey-O’Cain 1997).
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".