Subject relative<i>who</i>in Ontario, Canada: Change from above in a transplanted ecology
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
Abstract Who as a restrictive relativizer in English is an old change from above. In urban dialects, it still acts as a prestige form, whereas it is infrequent or negligible in rural British and American varieties. We compare earlier findings from Toronto, the largest city in the province of Ontario (D’Arcy & Tagliamonte, 2010), with a range of communities from the Ontario Dialects Project (Tagliamonte, 2003–present). While none of the rural locations has as much who as Toronto, there is a substantial range. Regions along the major highways to the north and east of the city have more who , while the smaller towns in less accessible locations have less, consistent with a Cascade Model effect (Labov, 2003). Nonetheless, who shows evidence of diffusion, increasing in apparent time in recent decades. We suggest that this reflects overt pressure from above, consistent with the enduring role that prestige plays in English relativizer variation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it