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
In light of the US current account deficit, pressure is high on Asian countries to revalue their currencies. The calls from some US policymakers for tariffs on imports from China have sparked fears of a world-wide surge in protectionism. This study evaluates the risk of protectionism, considering two dimensions: first, the economic effects; second, the incentives for policymakers to adopt tariffs. The study distinguishes between ‘benevolent' policymakers-who care about long-term GDP-and ‘myopic' policymakers, for whom short-term considerations are important. An analysis of the economic effects using the Bank of Canada's Global Economy Model shows that the gains from import tariffs are small: import tariffs raise the price of imports and shift consumption toward domesticallyproduced goods; but they also lead to a real appreciation. This improves the terms of trade, but falling export volumes lead to a reduction in GDP in the long run. The conclusion therefore is that a ‘benevolent' policymaker would not adopt tariffs, because of negative long-term consequences, but ‘myopic' policymakers might be tempted to exploit short-term political gains. Given the potentially high costs of protectionist trade policies, protectionism is therefore rightly viewed as an important risk.
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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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