Bibliographic record
Abstract
We are not strong enough to assimilate races so alien from us in their habits … We are afraid they will swamp our civilization as such. – Nanaimo Free Press, 1914 A White Man’s Province examines how British Columbians changed their attitudes towards Asian immigrants from one of toleration in colonial times to vigorous hostility by the turn of the century and describes how politicians responded to popular cries to halt Asian immigration and restrict Asian activities in the province. White workingmen objected to Asian sojourning habits, to their low living standards and wages, and to their competition for jobs in specific industries. Because employers and politicians initially supported Asian immigrants, early manifestations of antipathy often appeared just as another dispute between capital and labour. But as their number increased, complaints about Asians became widespread, and racial characteristics became the nucleus of such terms as a “white man’s province” – a “catch phrase” which, as Roy notes, “covered a wide variety of fears and transcended particular economic interests.” The Chinese were the chief targets of hostility in the nineteenth century; by the twentieth, the Japanese, more economically ambitious and backed by a powerful mother country, appeared more threatening. After Asian disenfranchisement in the 1870s, provincial politicians, freed from worry about the Asian vote, fueled and exploited public prejudices. The Asian question also became a rallying cry for provincial rights when Ottawa disallowed anti-Asian legislation. Although federal leaders such as John A. Macdonald and Wilfrid Laurier shared a desire to keep Canada a “white man’s country,” they followed a policy of restraint in view of imperial concerns. The belief that whites should be superior, as Roy points out, was then common throughout the Western world. Many of the arguments used in British Columbia were influenced by anti-Asian sentiments and legislation emanating from California, and from Australia and other British colonies. Drawing on almost every newspaper and magazine report published in the province before 1914, and on government records and private manuscripts, Roy has produced a revealing historical account of the complex basis of racism in British Columbia and of the contribution made to the province in these early years by its Chinese and Japanese residents.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.045 | 0.009 |
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".