Bibliographic record
Abstract
Formerly known as Electronic Commerce and Internet Law in Canada, the second edition of this book won the 2013 Walter Owen Book Prize – and this new title is sure to garner praise of the same magnitude. Written by leading experts in the field, Digital Commerce in Canada provides an in-depth look at digital transactions, and in particular the contractual nature of the relationships that form the basis of those transactions. The book also provides extensive consideration of private sector data protection law and its application.\nA comprehensive resource Rather than a treatise on Internet law, Digital Commerce in Canada examines the commercial framework that is developing in the context of digital transactions, including the important areas of electronic contracts, consumer protection, and data protection.\nThe fully updated content in this latest edition features new and revised chapters dedicated to: “Smart contracts” and blockchain – readers can gain a deeper understanding of the increasingly prevalent technology Privacy and data protection in the private sector – a focus on the digital, online and mobile environments which are of growing concern in the digital realm Content regulation – one of the areas with the greatest number of legal challenges as new communications clash with established norms concerning expression Jurisdiction in cyberspace – a discussion of the state’s authority to prescribe law as it is generally limited to the political boundaries of each state, featuring an analysis of the Facebook/Google Supreme Court of Canada case \nThe right book at the right time Given its up-to-date content and commentary, Digital Commerce in Canada would be especially useful for: Corporate/commercial lawyers who represent clients conducting business on the Internet Information technology and intellectual property lawyers who provide guidance to clients on copyright, patent and trademark issues on the Internet, and ancillary matters Privacy and access to information lawyers who advise clients on how to protect themselves against security breaches, identity theft and other privacy issues In-house counsel who must direct their client (i.e., the corporation) on how to conduct business on the Internet Undergraduate and law students who are interested in learning more about Internet law and electronic commerce issues Libraries who want to provide relevant material to their patrons
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.020 | 0.006 |
| Scholarly communication | 0.017 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.108 | 0.018 |
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".