Bibliographic record
Abstract
This presentation was made for Lou D'Alton's Information Policy class in the Faculty of Information & Media Studies. It looks at the decision of the Supreme Court of Canada in Douez v Facebook Inc where the court declined to dismiss an action brought against Facebook Inc for breach of privacy. The action was based on the B.C. Privacy Act and it was brought as a class action in B.C.\nFacebook sought to dismiss the action because of a "choice of forum" clause in its terms of service agreement which said that disputes will be brought in California courts.\nThis presentation looks at the case in greater detail and also considers its implications for other consumer license agreements where terms often purport to supersede statutory rights. The author would like to thank Prof. D'Alton and the Library & Information Science graduate students in his class for their thoughtful feedback and questions.
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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 | 0.010 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.048 | 0.013 |
| Scholarly communication | 0.021 | 0.009 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.015 | 0.011 |
| Insufficient payload (model declined to judge) | 0.030 | 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; 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".