The politics of Chinese immigrants’ double unbelonging and deglobalization
Bibliographic record
Abstract
This study theorizes the politics of belonging, drawing on the case of Chinese immigrants. In the heyday of globalization, Chinese immigrants used to enjoy a high degree of transnational mobility and multiple belongings. Now, in the wake of China–West geopolitical contestations and during the time of COVID-19, many Chinese immigrants are experiencing double unbelonging due to marginalization in both the host society and China. By analyzing double unbelonging, this study makes three theoretical contributions. First, it expands the conventional cultural–humanistic framework of belonging to incorporate political analysis. Second, it discusses why and how to replace the positivist approach to belonging as exemplified by acculturation theory with a social constructionist approach to the politics of belonging. Finally, the study theorizes unbelonging—its epistemological advantage, its dialectical relation with belonging, its production by the nation-state and media, and how polarizing geopolitics produce double unbelonging.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.023 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| 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".