Emerging Asia: Two Paths through the Storm
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 overall effect of the global financial crisis on emerging Asia was limited and short-lived. However, the crisis affected some countries in the region more than others. Two main crisis transmission channels, exposure to U.S. financial markets and reliance on manufacturing exports, determined how severely countries in the region were affected. Countries that were relatively less connected to global financial markets and relied less on trade fared better and recovered more quickly than countries that were more dependent on global financial and trade markets. When the global financial crisis erupted in the summer of 2007, its spread was limited initially to the financial sectors of the United States and other advanced economies. After Lehman Brothers collapsed in the third quarter of 2008, the crisis became more widespread. During this time, the gross domestic product of the United States and western European countries fell from pre-crisis growth rates of around 3 % to below zero. Yet, many emerging Asian countries were relatively unaffected, with annual GDP exceeding 5%. Most of the region did not feel the effects of the financial crisis until late 2008 and early 2009. Even after that, the impact on the region overall was less severe than on the rest of the world. Most countries bounced back relatively quickly (Tille 2011, Goldstein and Xie 2009).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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