The Rise and Fall of Chinese Immigration to Canada: Newcomers from Hong Kong Special Administrative Region of China<sup>1</sup> and Mainland China, 1980–2000<sup>2</sup>
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.
Bibliographic record
Abstract
ABSTRACT An emerging perspective in the study of global diasporas stresses the effect of economic globalization and migration shifts in reshaping the population and identifying the formation of diaspora communities. This paper analyses the immigration patterns from Hong Kong and mainland China to Canada between the 1980s and 1990s, and shows that the migration shifts have been influenced by political and economic forces in Hong Kong and China, as well as changes in Canada's immigration policy. The imminent return of Hong Kong to China in 1997 and its uncertain political future in the 1990s were often cited as the main reasons for Hong Kong's large emigration in the late 1980s and early 1990s. In reality, the rising volume of Hong Kong emigration was prompted by the 1989 Tiananmen Square incident in China and its aftermath, and by the booming economy of Hong Kong in the early 1990s that created the means for many middle‐class Chinese to emigrate. At the same time, Canada's expansion of the Business Immigration Program in the mid‐1980s also benefited immigrant entrepreneurs from Hong Kong. In contrast, the Asian Financial Crisis of 1997 did not deter the economic growth of China. Immigration from China rose after 1989 when Canada allowed Chinese students studying in Canada to immigrate, but it was after the mid‐1990s that immigration from China expanded due to Canada's greater emphasis on admitting economic immigrants and to China's growing middle class. The continuous arrival of well‐educated and urban‐based immigrants from China is likely to change the population composition and identity complexity of the Chinese community in Canada.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it