What (if Anything) Can Developing Countries Learn from South Korea?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The economic development of South Korea since 1960 is one of the biggest success stories in the history of development. In just a few decades, South Korea transformed itself from an agricultural society to an industrialized nation exporting high-technology products such as cars, TVs, mobile phones or computers. Furthermore, after more than two decades of authoritarian rule South Korea changed relatively peacefully to a democratic society in 1987. On the other hand, many developing countries in Africa, Latin America or South Asia still face economic stagnation and enormous development problems: Poverty, inequality, bad health, a low life expectancy, illiteracy, ethnic and religious conflicts and discrimination of women are a daily occurrence. Observing these large differences in the development level of South Korea and today’s developing countries, this article explores, what numerous underperforming countries can learn from the South Korean development model. This article argues that it will be very difficult, if not impossible, for today’s developing countries to imitate the South Korean development model by simply adopting similar policies and formal institutions because, apart from conventional explications, informal institutions shaped by Confucianism (“Asian values”) and specific historical circumstances played a key role in the economic development of South Korea. Nevertheless, there are still some lessons to be learnt from South Korea.
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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 | 0.001 | 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) | 0.001 | 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 it