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
Unlike the European Union’s (EU) negotiations with the US and Canada, the Japan-EU Economic Partnership Agreement (EPA) negotiations have encountered few critics from civil society organisations (CSO) and therefore became an ‘exceptional’ case for the EU. There are four reasons. The first is that the main focus of the EPA is still on ‘old’ issues such as tariff reduction of motorcars, electronics and agricultural products. The second is the relative lack of innovative proposals compared to the American and Canadian case. The third is Japan’s lack of ability and competitiveness to export its regulations, making Japan’s attitude relatively defensive. Finally, the modest scale of Japan-EU trade compared to transatlantic trade. These four reasons made the level of contestation relatively low, but this has not led to an acceleration of concluding the EPA. Uncertainty caused by Trump and the Brexit referendum have made Japan’s trade policy complicated and unpredictable.
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 | 0.003 |
| 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 | 0.001 | 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