Transnational familial strategies, social reproduction, and migration: Chinese immigrant women professionals in Canada
Bibliographic record
Abstract
This paper fills a lacuna in the literature on gender, work, and migration by exploring the migration experience and familial arrangements of middle-class Mainland Chinese migrant women who were professionals in their home country. Informed by theoretical debates on social reproduction, and transnational migration frameworks, it explores how transnational migration is shaped by intersectional gender, race/ethnicity, and class processes, and demonstrates how these Chinese immigrant women utilized transnational familial arrangements as strategies for social reproduction. In doing so, the Mainland Chinese immigrant women professionals provide what they perceive as better opportunities for themselves and for their families. Our research starts with Chinese immigrant women’s individual articulations of their own migration trajectories, we then go further to examine how the women’s transmigration strategies are embedded in the context of the changing social, economic, political, and cultural processes in China and in Canada. In this paper, Mainland Chinese immigrant women’s motivations for immigrating to Canada; how migration shapes their experiences in Canada; as well as their transnational strategies for social reproduction are explored.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.024 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".