The western Canada‐US border as a linguistic boundary: The roles of L1 and L2 speakers
Bibliographic record
Abstract
ABSTRACT: The present paper uses data from written self‐reports from two points of time, 2004 and 2008–10, to gauge the strength of the Canada‐US linguistic border in British Columbia's Lower Mainland. With parallel data sets from Metro Vancouver, Canada, and adjacent Washington State, Vancouver English is characterized as a vernacular that – for the 30 variables studied – is not undergoing Americanization. The data for young local residents who were at least raised, if not born, in the target regions provide solid evidence that present‐day Vancouver English is best identified as a linguistically more conservative variety than the vernacular of Washington State. Speakers of second‐language varieties of English in Vancouver are shown to amplify differences already present in the local population. While the linguistic boundary in Canada's westernmost province is rarely an isogloss in the qualitative sense of the term (applying only to two cases), it appears to be a stable linguistic boundary in quantitative and statistically significant terms for the variables investigated.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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 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".