The Digital Economy and International Trade
Bibliographic record
Abstract
Data flows are the backbone of today's diversified value and supply chains. In this timely book, a prominent specialist in transnational commercial and private law explores a developing and evolving area of law related to the role of the digital economy in international trade, making a direct call for the need to internationalise the law regulating transnational data flows. Examining the commonalities and divergences in data flow regulation among ten key jurisdictions – Australia, Indonesia, India, Canada, Japan, Singapore, New Zealand, the United Kingdom, the United States, and the European Union – the book covers such issues and topics as the following: reconciling data free flow with trust; managing the increase in data vulnerability; efforts to prohibit trade in personal data within an interconnected digital economy; obstacles to data flows and digital economic development; cybersecurity; FinTech and TechFins; cross-border insolvency; dispute resolution; and data-digital diplomacy. The author compares sev
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 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 | 0.002 | 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 | 0.027 | 0.015 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".