Beyond Ethnic Enclave: Social Integration of Chinese Immigrants in Paris’s “Little Asia”
Bibliographic record
Abstract
This paper studies the integration of Chinese immigrants in the Triangle de Choisy neighborhood in Paris, which is known for being an exotic hub of Chinese commercial and cultural activities. Based on Serge Paugam’s model, we investigated the social integration of Chinese residents in the neighborhood. Our ndings show that while dense social bonds allowed for better connection, our respondents are generally reluctant to address political engagement, which Paugam (2017) considers as one of the four key aspects of social integration. The apparent result seems to con rm the so-called Chinese ethics of diligent work and political indi erence. However, after closer examination, we found diverse forms of participation that have not been captured by the conventional ethnic- centric understanding of political engagement. First, universalistic welfare policies reduced incentives for community-based mobilization. Second, a high level of internal heterogeneity within the community and exclusion of ethnic-particularistic experience in mainstream politics both led to individualized, subtle forms of participation. By situating individual political choice within their particular memories and life histories and reconceptualizing minorities’ political engagement beyond ethnicity, more forms of political engagement can be understood and appreciated. Finally, we argue that the conventional ethnic-centred understanding of minority political participation needs to be challenged.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".