Hopefully a Good Life: Cosmopolitan Chinese Migrant Families in Urban Italy
Bibliographic record
Abstract
Chinese residents have grown to be one of the most prosperous migrant groups in Italy since their mass migration from China in the 1980s. Alongside their rapid upward economic mobility, parents and children within the same families have shown generational differences in their understandings of the good life. While older generations believed that the good life means economic mobility, which is achieved through their labour and migration, younger generations’ definition of the good life, rooted in their negative experiences of racialization, is associated with social recognition. Such generational differences stem from the shifting tensions between the contested racial and national orders in association with Italy’s economic stagnation and China’s global ascendancy. Yet, both generations of these desiring subjects have manifested their own conceptions of cosmopolitan Chinese-ness to survive precarity and to aspire to a better life both economically and socially. Their family stories thus contribute to anthropological debates on how people envision their futures between hope and precarity, expectation and uncertainty, and privilege and disadvantages amid racialized class terrains, generational tensions, and geopolitical transformation of the world order.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".