The Constitutionality of Using Production Orders to Obtain Stored Communications Content
Bibliographic record
Abstract
In R v Jones, the Supreme Court of Canada concluded that producing text messages stored after transmission are accessible via a section 487.014 production order. If the state were to apply to intercept the same message a short time earlier, it would have to meet the much more stringent prerequisites under Part VI of the Criminal Code. The difference in time of reception and content received will often be negligible. Given the nearly identical privacy interests at issue, I maintain that utilizing a production order to produce stored messages will sometimes constitute an unreasonable search contrary to section 8 of the Charter. To address this constitutional defect, I recommend that Parliament include a requirement like that found in the general warrant provision in section 487.01(1(b), which requires any issuance be “in the best interests of the administration of justice.” Inclusion of this phrase would prevent technical differences in storage practices from altering constitutional standards for acquiring private communications.
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 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 | 0.024 | 0.045 |
| Meta-epidemiology (narrow) | 0.001 | 0.003 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.016 |
| Scholarly communication | 0.018 | 0.013 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.013 | 0.012 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".