Transport infrastructure, growth and persistence: The rise and demise of the Sui Canal
Bibliographic record
Abstract
Abstract This paper investigates the effect of transport infrastructure on the spatial distribution of population over two millennia. Focusing on the Sui Canal, one of history's greatest infrastructure projects, we show that its completion in the 7th century CE led to a strong increase in population concentration along the newly established transport artery. We exploit the fact that large parts of the canal fell into disrepair after the 12th century to analyze the persistence of this effect. We find that in 2010, more than 800 years after the Sui Canal fell into disuse, regions once directly connected to the canal are still more populous than areas that never had access. However, this population concentration is not mirrored in economic development. GDP per capita is lower in areas that lay along the course of the canal. One potential explanation for this finding is a change in the value of locational fundamentals as well as a shift in investments to the benefit of coastal regions since the initiation of the Open Door Policy in 1978.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".