The Animal Rights Debate and the Expansion of Public Discourse: Is it Possible for the Law Protecting Animals to Simultaneously Fail and Succeed?
Bibliographic record
Abstract
This Article uses the theory of deliberative democracy, as developed by Jürgen Habermas and others, to suggest that public discourse is essential to encouraging democratic change in animal welfare law. The author examines the legal regimes of Canada and New Zealand to determine which country better facilitates a public dialogue about the treatment of animals. The Article concludes that, while Canada has a number of laws that ostensibly protect animals, New Zealand’s regime is much better at creating the public discourse required to meaningfully advance animal protection. The author does not suggest that New Zealand’s regime is perfect; rather, New Zealand’s model is preferable to Canada’s because it allows the public to meaningfully engage in laws affecting animals at regular intervals. In Canada, generating discussion in government about animal welfare is too often left to the whim of legislators. Due to New Zealand’s model of encouraging and requiring public discourse, its protection laws have begun to surpass those of Canada, and there is reason to believe this will continue. Encouraging public discourse about our assumptions about animals fosters hope for meaningful progress in their lives.
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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".