The new rules on digital trade in Latin America: regional trade agreements
Bibliographic record
Abstract
While recent technological advances \nhave supported an increase in digital \ntrade, this growth has occurred with a \nlack of clear and defined rules. This \ndeficiency has become an issue for \nLatin American countries. With the \nmultilateral trade regime impasse, more \ncomplex regional and bilateral \nagreements have emerged. The \nformulation of digital trade regulation \nraises many questions. In this chapter \nwe deal with the new rules on digital \ntrade in regional trade agreements \n(RTAs) recently negotiated by Latin \nAmerican economies. In this work, \nspecial emphasis is given to comparing \nthe Comprehensive and Progressive \nAgreement for Trans-Pacific \nPartnership (CPTPP) and the United \nStates-Mexico-Canada Agreement \n(USMCA), the most advanced RTAs \nregarding these issues.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".