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Record W3007555959

“Fake Vegans”: Indigenous Solidarity and Animal Liberation Activism

2017· article· en· W3007555959 on OpenAlexaffabout
Melissa Marie Legge, Rasha Taha

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSolidarityIndigenousAnimal rightsPolitical scienceEnvironmental ethicsGender studiesSociologyLawPoliticsEcology
DOInot available

Abstract

fetched live from OpenAlex

The Haudenosaunee Wildlife and Habitat Authority has negotiated with Parks Canada to determine safe areas for indigenous hunters to exercise their Treaty rights in Ontario. One of these areas is Short Hills Provincial Park. Every year, a group of protestors block the park in an attempt to prevent hunters from legally exercising their rights. The protestors are a combination of property owners who have a not in my backyard mentality, and animal activists who object to the deer harvest. In response to the protests, supporters of the hunters have taken a stance of solidarity at the park entrance to try to disrupt the protests. The supporters consist of indigenous peoples and settler allies, members of CPT-IPS, Christian Peacemaker Indigenous Peoples Solidarity Team, and members of HALT, Hamilton Animal Liberation Team. This paper focuses on deconstructing the experiences of settler animal liberation activists demonstrating in solidarity with indigenous hunters.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0260.054
Scholarly communication0.0090.005
Open science0.0010.009
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.055
GPT teacher head0.403
Teacher spread0.348 · 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 designQualitative
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

Citations0
Published2017
Admission routes2
Has abstractyes

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