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 Japanese yen depreciated 30 percent from its peak in the fourth quarter of 2011 against its trading partners. This was expected to boost its exports as the lower yen makes Japanese goods more competitive on global markets. Instead, the volume of Japanese exports of goods actually fell by 0.6 percent over this same period, as can be seen in the chart below. Weaker external demand surely contributed to this poor export performance. Yet over the same period, U.S. goods exports grew by more than 6 percent, which suggests that other factors are also at play. In this post, we draw on our recent paper ?Importers, Exporters, and Exchange Rate Disconnect? that highlights another channel to help explain these puzzling developments. In that study, we show that a key to understanding why there is low pass-through from exchange rates into export prices is that large exporters are also large importers, so they face offsetting exchange rate effects on their marginal costs. In the case of Japan, the connection between the yen and production costs has been made stronger since the country replaced nuclear power with imported fuels in the aftermath of the 2011 earthquake.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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