Chinese Women as Transnational Migrants: Gender and Class in Global Migration Narratives
Bibliographic record
Abstract
This paper argues that the debates on transnationalism are gender implicit, and the discourse shaped by the emergence of Pacific Asian economies as key players in the global economy sees men as the dominant representative of these global forces. Belief in a real or imagined global bonding has become a dominant and problematic discourse that can empower some, while marginalizing others. It is important to examine how women of Chinese ancestry position themselves within their personal and global environments and to give agency to women in these narratives fashioned by tropes of global capitalism and world markets. Women now outnumber male immigrants to the major immigration countries of Australia, the United States, and Canada, and this shift is due to the increased migration of women from Asian countries. Yet their position in transmigration and settlement patterns has largely been ignored. This paper argues that the global perspective of Chinese diasporic women has significant implications for both Western and non‐Western global patterning. The site of the investigation is Australia in the post 1970s and the focus is on women of Chinese ancestry re‐migrating from East and South‐East Asia.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.006 |
| 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".