Housing Vulnerability, Shared Housing, Informality, and Crowding: The Housing Strategies of China’s Recent College Graduates
Bibliographic record
Abstract
Mirroring developments elsewhere, for recent college graduates in China the transition to employment is increasingly protracted and, for some, precarious. Case studies of individual strategies and cities indicate a diversification of housing pathways, where economic precarity is rendering at least some vulnerable. Based on original survey data collected in 2019, I investigate the housing choices of Chinese college graduate job market entrants and ask who is vulnerable and whether adverse outcomes are mere market entry strategies or lasting. I find that recent graduates generally find housing in central locations, close to their work. However, to achieve favourable locational outcomes on low budgets, many resort to sharing. High-density room sharing of three or more people is illegal but prominent and dominates in first-tier cities. The findings highlight how urbanization interacts with housing vulnerability and contribute to theorizing on the housing crisis, the Global North-South binary, and the very nature of home sharing.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| 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 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".