Canada's Wonderlands: Can a Convicted Sex Offender Subject to a Section 161(1)(a) Order Legally Enter an Amusement Park?
Bibliographic record
Abstract
Statutory interpretation of the term “public park” in the context of Section 161(1)(a) of the Criminal Code, and whether an amusement park or public exhibition can be classified as a “public park” within the meaning of that section. Two different lines of case law have emerged on Section 161(1)(a), based on the rivalling precedents established by the BCCA and the ONCA. At root, this is purely a question of whether “public park” should be interpreted broadly, as the ONCA has done, or narrowly, as the BCCA has done. I support the narrower interpretation and argue that places like amusement parks, baseball stadiums or public exhibitions should not be included under the ambit of “public park”. By the same reasoning, other terms under Section 161(1)(a) should also be interpreted narrowly.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.009 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".