TRAPS EMBRACED OR ESCAPED:Elites in the Economic Development of Modern Japan and China
Bibliographic record
Abstract
Countries commencing industrialization with relatively low levels of agricultural productivity, hence low wages, enjoy advantages that can also prove host to daunting challenges. The chief advantage is a relatively elastic supply of labor for manufacturing; the chief challenge is how to free up farm labor for factory employment through the raising of labor productivity in farming. Key to raising agricultural labor productivity is providing incentives to increase effort levels including hours worked - access to markets being crucial - and improving the quality of labor as measured by health indicators and educational attainment. The willingness of elites to promote improvements in infrastructure - physical infrastructure in the form of roads and railroads and hydroelectric systems; human capital enhancing infrastructure augmenting the educational attainment and health of populations in rural areas; and financial infrastructure - and to invest directly in factories is crucial to the process by which labor is transferred from farming to manufacturing activities. During the period 1850 to 1935 elites in China tended to resist the requisite changes while elites in Japan did not. This legacy played a crucial role in shaping the nature of post-1950 economic development in the two countries
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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 | 0.003 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".