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The western Canada‐US border as a linguistic boundary: The roles of L1 and L2 speakers

2012· article· en· W1934372298 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWorld Englishes · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVernacularLinguisticsAmericanizationVariety (cybernetics)MainlandBoundary (topology)PopulationVariation (astronomy)State (computer science)HistoryGeographySociologyDemographyAnthropologyComputer scienceMathematicsStatistics

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.925
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.280
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it