Addendum: A Brief Note on Privacy from a Technological Perspective
Bibliographic record
Abstract
The Supreme Court of Canada's judgment in R. v. Tessling (2004) has become a paradigmatic decision because of its implications for technology and privacy. In this article, we contend that Tessling could have had a reasonable expectation of privacy about the heat emanating from his house if a technological point of view had been applied. In particular, we argue, from a description of the technological perspective aimed at an audience who do not primarily have a technological background, that if heat emanations escaping through the walls of an individual's house are considered a “communication network,” privacy could be imposed upon them through technological and/or societal mechanisms. In other words, if the heat emanations are considered an element or part of a given communication those heat emanations can be protected through privacy procedures. For this discussion, we first provide a brief introduction to basic communication technology and then explore the implications of effective communication. Finally, we describe a classification scheme for techniques that can help to achieve privacy in a given communication.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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; a candidate call from one teacher head, 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".