Creating Canadian English: The Professor, the Mountaineer, and a National Variety of English
Bibliographic record
Abstract
This lively account of the making of Canadian English traces the variety's conceptual, social and linguistic developments from the twentieth century to the present. This book is not just another history of Canadian English; it is a history of the variety's discovery, codification, and eventual acceptance, as well as the contribution of the linguists behind it. Written by an active research linguist focusing on Canadian English, this book is an archive-based biography on multiple levels. Through a combination of new data and re-interpretations of existing studies, a new voice is given to earlier generations of Canadian linguists who, generally forgotten today, shaped the variety and how we think about it. Exploring topics such as linguistic description and codification, dictionary making, linguistic imperialism, linguistic attitudes, language and Canadian identity, or the threat of Americanisation, Dollinger presents a coherent, integrated and balanced account of developments spanning over almost a century.
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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 | 0.002 | 0.011 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".