“Everybody has their own Dream”: Nail houses and Resistance to the Landscape of Globalization in Contemporary China
Bibliographic record
Abstract
The transformation of the Chinese landscape is embodied by the figure of new, hyper-modern cityscapes. With the influx of hundreds of millions of people from rural to urban areas, China’s economic reform process is dominated by the production of space designed to instill a new ideal of modern economic subjects for Chinese identity. However, China’s modernization is complicated by the emergence of a recent urban phenomena: dingzihu, or nail-houses. Nail- houses are points of resistance where individuals refuse to abandon their homes when traditional urban districts are demolished for urban renewal. By examining personal testimonies of nail-house inhabitants and visual representations of traditional urban communities in contemporary Chinese cinema, it will be argued that nail-house protests’ resistance to the disappearance of traditional urban-community culture is a symptom of the logic of globalization. To this end, Frederic Jameson shall be invoked to argue that globalization forces the creation of local national worlds that are antagonistic to all others, including those within their own space. Drawing on Hannah Arendt, insofar as the collapse of the public and private sphere for the sake of economic interest in China can be understood as reducing the difference of personal identity to create national homogeneity, nail-house protests reveal a common condition of exile endemic to the process of global modernity as a whole.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.015 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".