Does an economic crisis deflate education bubble and inequality? Lessons from South Korea 1997–2020
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
Rapid education expansion has been a main driver of the remarkable economic growth in South Korea for last decades. However, in recent times, its excessive education credentialism is considered a hurdle against further developments. This study examined whether education bubble and inequality decreased during the Asian Financial Crisis 1997–98, the Global Financial Crisis 2008–09, and the COVID‐19 pandemic 2020. It tracked quarterly distributional changes in private education expenditure of Korean households with Changes‐in‐Changes. The findings indicate that Korean households postponed private education expenditure cut in the first quarter of the crises to prevent their children from falling behind in severe education competition. Then, they temporarily downsized it in the second quarter. During the pandemic, vulnerable students experienced higher fluctuations in private education expenditure than they did in previous crises closely related to disproportionate effects of the pandemic on household income and consumption expenditure. Therefore, this study suggests more expansionary measures for disadvantaged students to recover from a learning loss and improving the public education system as a fundamental measure to mitigate severe private education dependency.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| 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