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
FTAs need to introduce rules of origin (ROO) in order to curb trade deflection. ROO should be designed to be neutral and modest forms, but many countries tend to adopt complicated forms of ROO from the viewpoint of protective trade policy. Typically, Canada and US prefer yam-forward rule as the ROO on textile and apparel, which is the most complicated ROO in FTAs. This paper tries to assess the effects of yam-forward rule on the trade of textile and apparel in the Canada-Korea FTA. Although several papers on ROO in FTAs were published, empirical studies on sectoral effects of ROO in FTAs are quite limited. Maybe this paper can be the first study in Korea on the quantitative assessment of ROO on individual industry. The paper suggests that the government of Korea persuade Canada to adopt less stringent type of ROO in the bilateral FTA between two countries.
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 | 0.001 |
| 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) | 0.022 | 0.023 |
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