Cities in the age of global migration : integration of mainland Chinese in Vancouver, Canada
Bibliographic record
Abstract
Since the late 1990s, the People’s Republic of China has emerged as the largest source of foreign students, tourists, skilled and low-skilled workers for the Pacific cities and regions. Upon arrival, the ‘new’ Chinese migrants have to carve out a place for themselves, which entails more than looking for jobs and shelter. In particular, they find themselves in a social milieu shaped by both new and long-established Chinese groups in the receiving places. Using migration flows between Mainland China and Vancouver as a case study, I explore specific processes and mechanisms that directly shape the diversity of migrant integration experiences and the variegated relations between migrant integration and the socioeconomic and spatial transformation of the Vancouver region. Specifically, I seek to understand how certain political economic characteristics of place (in terms of economic structures, political cultures, processes and institutions) have hindered and facilitated the livelihood production of migrant groups in multifaceted ways. Two methodological approaches inform my study: comparative historical analysis and agency-structure linkage. I argue that specific historical trajectory of urban development in localities in China and Vancouver offer very different structures of opportunities that enable individual migrant families to build different human capacity, hence, their capacity to adapt to a new life when they move from place to place. Group differences challenge the taken-for-granted claims of ‘Chineseness’ and the stale concept of ‘Chinese community’ in public debates and policy-making. By placing the multiplicity of Mainland Chinese experiences at the centre of my research, I have opened up new lines of theorizing about the substantive meaning of integration as opposed to providing definitive answers to when and how to achieve integration. The impossibility of presenting a coherent, unified trajectory through which one settles down with a definitive sense of belonging attests to the complexity and precariousness of migrant integration.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.014 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".