The persistence of power despite the changing meaning of homeownership: An age-period-cohort analysis of urban housing tenure in China, 1989–2011
Bibliographic record
Abstract
Using nine successive waves of the China Health and Nutrition Survey (CHNS) data set, this study employs hierarchical age-period-cohort logistic models (HAPC) to analyse temporal patterns of urban homeownership from 1989 to 2011. With the changing meaning of homeownership due to housing reforms, the strong period increases in homeownership track policy changes and the most dramatic increase occurs mainly in the era of housing privatisation rather than housing commodification. The temporal analyses also offer insights into housing stratification from redistribution to markets. The positive effect of education on homeownership is explained by period increases in homeownership, whereas working in state sectors has persistently attached to preferred housing-tenure choice before and after the housing reforms. Moreover, the significant cohort effect lends support to strengthened temporal inequalities in the reform era. These findings not only provide a dynamic understanding of housing stratification in (post)socialist societies, but call for the need to incorporate temporal dimensions into urban studies, especially those on a society experiencing rapid social and institutional changes.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".