The CPTPP and Digital Trade: Embracing E-Commerce Opportunities for SMEs in Japan and Canada
Bibliographic record
Abstract
One of the most innovative features of the CPTPP is its material on digital trade, especially its chapter on e-commerce which contains a number of provisions aimed at enhancing this vital sector of the economy by eliminating distortive trade barriers such as restrictions on data transfer and data localization requirements. Such provisions should be important to the CPTPP’s two largest parties: Canada and Japan, both of which are highly advanced economies seeking to enhance their digital trade capacity across the Pacific Rim. This paper explores the main features of the CPTPP concerning digital trade from the perspective of Small and Medium Sized Enterprises (SMEs) in Canada and Japan. Such businesses have a poor track record of e-commerce uptake and may be disadvantaged relative to their larger competitors which enjoy dominance in the online marketplace. Whether or not the CPTPP will assist these businesses while striking the right balance between an open internet and safeguarding of issues such as privacy is a matter of some debate.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".