<i>Multilingualism in the English-speaking world: Pedigree of nations</i>
Bibliographic record
Abstract
Viv Edwards, Multilingualism in the English-speaking world: Pedigree of nations. Malden, MA: Blackwell, 2004. Pp. viii, 253. Pb $29.95. Amid widespread talk about the dominance of English across the world, this volume is a reminder that even at the core of the English-speaking world, English monolingualism is not as universal as is often assumed. The book's subtitle, Pedigree of nations, conveys that, in fact, multilingualism is not only an important element of contemporary daily life in the United Kingdom, United States, Canada, Australia, and Aotearoa/New Zealand, but also an essential thread in these nations' ancestral lines, indeed part of what has made them what they are today. In this comprehensive effort to dispel the “myth of monolingualism” (p. 3), Viv Edwards has assembled copious evidence of the use and significance of minority languages in English-dominant countries. Readers will find themselves better equipped to counter not only this general misconception but also the pervasive corollaries that position other languages and their speakers as problematic, outside the mainstream, and therefore outside the range of what is valued.
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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 | 0.000 | 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 | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".