Neoliberal multiculturalism and ethnic entrepreneurial self: A transnational perspective on ethnicity in China
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
This research challenges the methodological nationalism that dominates studies of ethnic minorities in China, which often focus on how power dynamics within the nation-state shape ethnic identity formation. Drawing on discourse analysis, ethnographic fieldwork, and interviews with Hui Muslims in Yiwu—China’s global trade hub—this article adopts a transnational approach to examine how the state and minority individuals construct ethnicity. Building on theories of neoliberal multiculturalism and ethnic capital, I argue that China’s integration into the global economy has produced a discourse of neoliberal multiculturalism that assigns global market value to minority groups’ ethnic capital. Hui Muslims engaged with this state discourse to strategically construct an ethnic entrepreneurial self. I show how neoliberal multiculturalism served as a cultural repertoire to facilitate or constrain Hui Muslims’ efforts to negotiate symbolic hierarchies and state power. These findings shed light on how economic globalization reshapes ethnic minority people’s social positioning. The article also contributes to the theory of neoliberal multiculturalism by extending its analysis beyond state governance, exploring how it has functioned as a repertoire for transnational ethnic actors to negotiate self-identity and status inequalities.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| 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