Bibliographic record
Abstract
Canada leads on applying privacy law to sales of recreational cannabis. Michael McEvoy, Information and Privacy Commissioner for British Columbia (BC), Canada, explains why and how he has applied the BC privacy law to the legal retail sale of recreational cannabis. To coincide with the legalisation of recreational cannabis, he published in October 2018, Protecting Personal Information: Cannabis Transactions, the world's first guidance on this subject. This was updated in a revised version in August 2021. He explains the main privacy issues common to the retail sale of other products in general and alcohol in particular, and the impact of the pandemic on trends which impact privacy. This guidance has additional benefits of attracting the public's attention to their data rights, and retailers about their responsibilities.We discuss how this world leading BC guidance is now having an impact across Canada and several other countries where the law on the sale of recreational cannabis is being relaxed to fulfil a mainstream need.Listeners to this podcast can obtain the related article published in the August 2021 edition of PL&B International Report by emailing: info@privacylaws.com
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.440 | 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".