Bibliographic record
Abstract
Despite agriculture’s modest contribution to GDP in all three partner countries, agricultural issues will be a thorny aspect of the NAFTA renegotiation—just as they are in other trade agreement negotiations. US and Canadian agricultural producers like NAFTA and will fight hard to preserve it. Aside from some wrangling over market access issues for dairy, poultry, and eggs and recent spats over Canadian soft lumber, farm organizations in both countries view NAFTA positively. Public opinion in Mexico is more ambivalent, but NAFTA has created strong export-oriented agricultural interests in the country’s north that balance more protectionist interests in the south. NAFTA has created complex cross-border agricultural supply chains that create value added for the US economy, particularly in GOP-leaning states. Disrupting NAFTA could create big problems for Trump-voting states and states with GOP and split Senate delegations, especially those that rely heavily on agricultural exports and intra-NAFTA trade.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".