The Battle Between Privacy and Policy in Quon v. City on Ontario: Employee Privacy Rights and the Operational Realities of the Workplace on Display at the Supreme Court
Bibliographic record
Abstract
We hold this truth to be self-evident': we live in a digital age.A person would be hard-pressed to walk down a crowded city block without seeing a single soul talking on a cell phone 2 , listening to music on an iPod', or catching up on some reading on a Kindle.'In the last fifteen years, the public has witnessed an explosion of communications and media devices into the market.'These products mobilize users and free them of the tethers of desktop computers and landline telephones.The widespread use of such devices has signaled a dramatic shift in the day-to-day operations of the workplace, vastly increasing efficiency and allowing employers increased freedom.6 However, Carolyn would like to thank her fianc6, Richard Ward, for always being an unwavering source of encouragement and inspiration.She would also like to thank her parents, Gregory and Laura Coda, who are the best role models any child could imagine.Lastly, she would like to specially thank the editors and associates of COMMLAW CONSPECTUS Volumes
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.030 | 0.030 |
| Scholarly communication | 0.018 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.025 | 0.017 |
| 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".