Globalization, regionalization and convergence in East Asia
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
This research paper reports the result of an investigation into the pattern of income convergence in East Asia since 1970 and the proximate role of increased regionalization and inter-regional globalization in generating regional convergence or divergence. Specifically, we apply sigma and log t convergence tests for income convergence in the East Asian region and an augmented autoregressive distributed lag (ARDL) model to analyze the relationship between regional income dispersion and intra- and extra-regional flows of goods, capital and technology. Regardless of the measure of per capita income, the sigma convergence tests fail to find any evidence of intra-regional convergence. The log t convergence tests do not indicate overall convergence either, but, indicate the existence of convergence clubs within the region. The regression analysis suggests that intra-regional flows of capital and technology and extra- regional FDI flows unambiguously engender convergence while intra-regional trade flows and extra-regional exports have divergence effects.
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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 | 0.000 | 0.001 |
| 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 it