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 United States – Mexico – Canada Agreement (USMCA) was signed on November 30, 2018 and aims to replace and modernize the North-American Free Trade Agreement (NAFTA). This paper uses a global, multisector, computable-general-equilibrium model to provide an analytical assessment of five key provisions in the new agreement, including tighter rules of origin in the automotive, textiles and apparel sectors, more liberalized agricultural trade, and other trade facilitation measures. The results show that together these provisions would adversely affect trade in the automotive, textiles and apparel sectors, while generating modest aggregate gains in terms of welfare, mostly driven by improved goods market access, with a negligible effect on real GDP. The welfare benefits from USMCA would be greatly enhanced with the elimination of U.S. tariffs on steel and aluminum imports from Canada and Mexico and the elimination of the Canadian and Mexican import surtaxes imposed after the U.S. tariffs were put in place.
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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.028 |
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