Bibliographic record
Abstract
Abstract This article investigates the cultural politics of the Beijing subway. Drawing on diverse sources, we trace the evolution of the subway over the last half-century to reveal that it transcends its fluctuating, time-specific practicalities to serve as a potent conduit through which the Chinese state consistently shapes subjecthood. The article begins with the subway’s Cold War inception as a military enterprise, spotlighting its deliberate concealment to safeguard the echelons of power and obscure both international and domestic tensions. The second section delves into the subway’s rebirth in the wake of China’s opening-up reform and rapid economic rise, as it transforms into a mobile gallery of political aesthetics that extols China’s cultural heritage and triumphs, cultivating national pride under siege from unleashed market and social forces. The final section dissects the subway’s orchestration of undesirable passengers, sculpting a socioeconomic hierarchy in the city’s commuting system. As a multifaceted prism, the Beijing subway encapsulates a range of covert and overt, pragmatic and aesthetic, and inclusive and exclusive elements in the cultural politics of Chinese infrastructure at large; and it illustrates the sustained centrality of state power in shaping individual subjectivities and defining the cultural and representational significance of Chinese infrastructure, albeit amid growing contestation.
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 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 | 0.006 | 0.014 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".