Spatio-temporal urban social landscape transformation in pre-new-urbanization era of Tianjin, China
Bibliographic record
Abstract
China’s economic reforms of 1978, which led to the country’s transition from a centrally planned to a market-oriented economy, ushered in a phase of accelerated urbanization. Influenced by the economic transition and taking advantage of its privileged geographic and historic position, Tianjin has seen dramatic changes in its social landscape during the last three decades. Given this context, this study aims at understanding the different urban socio-spatial patterns of Tianjin and their mechanisms in three distinctive economic contexts by adapting both statistical and spatial approaches. Due to increasing population mobility caused by the economic reforms, the urban social landscape of Tianjin has become increasingly multifaceted, characterized by a “one axis, two nuclei” urban morphology. The rise of the Binhai New Area (TBNA) in the southeast is creating a dual-core urban social structure in Tianjin, with its traditional Urban Core located in the center of the city. In terms of the Urban Core’s expansion and population movements southeast toward the TBNA, an asymmetric suburbanization process is evident in Tianjin. Meanwhile, an additional population shift toward Beijing in the northwest is significant during 2000–2010, illustrating the changing relationship between these two neighboring municipalities. By integrating itself with Beijing, Tianjin has not only recovered from under Beijing’s shadow during the centrally planned economy period, but is also benefitting from Beijing in order to flourish.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".