Using Indian Data to Measure the Impact of the Eurozone Debt Crisis Through the Financial Channel
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
Economic data for the period 2000 to 2013 shows that the sovereign debt crisis in the Eurozone had a macroeconomic impact on India by transmission through financial channels. Capital flows into India slowed down significantly due to the crisis: net external loans availed by banks stood at US$2.7 billion in the third quarter (Q3) of 2012–13 as against outflows of US$87 billion in Q3 of 2011–12. The number and quantity of Euro issues by Indian firms declined from INR159.6 billion (with 18 issues) in 2009–10 to only INR10.3 billion (with 5 issues) in 2012–13 and portfolio investments into India fell significantly. One significant lesson from the Euro debt crises is that the Indian financial system is relatively more open than that of the Chinese.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| 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