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Record W4385207603 · doi:10.60082/2817-5069.3814

Animal Rights Activism and the Constitution: Are Ag-Gag Laws Justifiable Limits?

2022· article· en· W4385207603 on OpenAlexaffvenueabout
Jodi Lazare

Bibliographic record

VenueOsgoode Hall law journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsDalhousie UniversityGovernment of Canada
FundersWeatherhead Center for International Affairs, Harvard University
KeywordsLegislationPrivate propertyPublic propertyBusinessConstitutionProperty (philosophy)Property rightsLawPermissionAgricultureNumerus claususLaw and economicsPolitical scienceGeographyEconomics

Abstract

fetched live from OpenAlex

It is a troubling time to be an animal rights activist in Canada. Recently, Alberta adopted legislation to create harsh penalties for trespassing onto private property, for obtaining permission to enter private property based on false pretences, and for interfering with vehicles on public highways. These laws relate to agricultural lands, to private property generally, and, where roads are concerned, to public property. Ontario has adopted similar legislation aimed specifically at agricultural property. The legislation in both provinces purports to protect the security of farmers, their families, and rural property owners generally, as well as the safety of the food system, by preventing contamination of farmed animals by trespassers and those who would interfere with farmed animals in transport.

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 imitation

Not 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.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.482
Threshold uncertainty score0.958

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.034
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0120.055
Scholarly communication0.0140.012
Open science0.0030.004
Research integrity0.0200.019
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.039
GPT teacher head0.296
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2022
Admission routes3
Has abstractyes

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