Ag-Gag Laws, Animal Rights Activism, and the Constitution: What is Protected Speech?
Bibliographic record
Abstract
This article examines the constitutionality of ag-gag legislation that has recently been adopted by two Canadian provinces and is on the horizon in others. Ag-gag legislation prohibits activities such as trespass onto agricultural animal operations, gaining entry onto agriculture operations using false pretences, and interfering with the transport of farmed animals to slaughter. The analysis draws on case law and literature interpreting section 2(b) of the Canadian Charter of Rights and Freedoms and engages with scholarship related to animal rights activism, American ag-gag legislation, and feminist animal studies to argue that ag-gag laws violate the fundamental freedoms protected by the Charter. The article contends that Canadian ag-gag legislation prevents the communication of messages related to seeking truth, participation in the political system, and individual human flourishing, which limits freedom of expression.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.010 | 0.068 |
| Scholarly communication | 0.018 | 0.007 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".