Port–FEZ Bundles as Spaces of Global Articulation: The Case of Tianjin, China
Bibliographic record
Abstract
The authors examine possible ways to enhance interdisciplinary dialogue between transport geography and economic geography, its parent discipline. In the context of emerging paradigms of global production seeking to capture the outsourcing process with developing countries, the port–free-trade zone bundle is suggested as a valid intersect between spaces of production and spaces of circulation. Such zones act as interfaces between local and global spaces: they are spaces of global articulation. A case study of how such global articulation spaces are created in China is presented from the example of the Tianjin Economic Development Area (TEDA). Evidence suggests that, as the world factory, China purposely set up port–FEZs (free economic zone) in pairs and the use of containerized transport has been highly restricted to port-related production places; hence a dualism has been created in China's transport. It is found that TEDA consists of a continuum of customs-regulated spaces which act as a transition zone between domestic and international ‘status' commodities following a global production logic. At the same time, the creation of such enclaves consolidates a spatial ‘splintering’ effect that alienates such enclaves from their surroundings.
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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 | 0.003 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".