Bibliographic record
Abstract
Prevelar raising is the raising of trap and dress vowels before voiced velars. While bag and beg raising have been described in Canada, the Upper Mid-west, and the Pacific Northwest, an in-depth investigation of their distribution across North America is lacking, especially for beg. Using an online survey distributed to over 5,000 participants via Reddit (which skews toward younger, White males) and ordinary kriging for spatial interpolation, this study finds that prevelar raising is more widespread than previously reported: bag raising is found in much of the North and the Upper Midwest, and beg raising is far more variable and is common across much of the Midlands and the West, with concentrated pockets in the Northern Great Plains and various other regions. These data suggest that the two can occur independently, with areas like the upper Midwest exhibiting bag raising alone and the Midlands and the West reporting beg raising alone. These findings suggest that additional research on prevelar raising and other infrequent phonological variables is required to uncover their regional distribution and social meaning.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".