Bibliographic record
Abstract
Local identity practices are not as straightforward as originally predicted (Labov 1972a, 1963). I buildon previous work on local identity practices in coastal rural communities (e.g. Josey 2004, Labov1972a, Wolfram 1997) in an investigation of feature maintenance and identity practices on MountDesert Island, a tourist-dependent community in New England. Based on sociolinguistic interviewswith 12 native speakers of the MDI community, I find that the use of a local feature, the dropping ofpost-vocalic R (e.g. “car”, pronounced variably as [ka:], is moribund in the community. Ther-less variant is still in use by older speakers, and among these speakers a gender pattern and a pattern with respect to a speaker's source of capital emerge (Bourdieu 1991, 1972, 1986).
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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 | 0.001 | 0.045 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".