Information Please: A Comprehensive Approach to Digital Trade Provisions in NAFTA 2.0
Bibliographic record
Abstract
In 2017, the three signatories of NAFTA — Canada, Mexico and the United States — agreed to update the agreement to include a new “digital trade chapter.†The renegotiation of NAFTA presents a continent-wide opportunity to encourage new sectors built on cross-border data flows, while simultaneously preserving domestic policy space to regulate such sectors. Canada, Mexico and the United States can make NAFTA the first digital economy trade agreement. All three nations should agree to: →→ clarify the rules governing crossborder data flows; →→ encourage the free flow of information and protect personal data, while also promoting internet openness and stability; and →→ address new technologies as well as future trade barriers by including language that is technologically neutral (for example, not favouring specific technologies or regulatory approaches)
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 | 0.018 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.017 | 0.019 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.023 | 0.011 |
| Insufficient payload (model declined to judge) | 0.046 | 0.016 |
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".