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Record W3201599030 · doi:10.1177/00084298211039241

Ethical veganism as nonreligion in <i>Mr J Casamitjana Costa v the League Against Cruel Sports</i>

2021· article· en· W3201599030 on OpenAlexaffvenue
Lauren Strumos

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Ecology, and Ethics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSociologyScholarshipContext (archaeology)Environmental ethicsLeagueEpistemologyLawPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

In January 2020, an employment tribunal in the United Kingdom decided that ethical veganism qualified for protection from discrimination as a philosophical belief under the UK’s Equality Act 2010. This article explores the reasoning behind this judgement, as presented in the preliminary hearing decision for Mr J Casamitjana Costa v The League Against Cruel Sports, to argue that ethical veganism in this context can be conceptualized as a form of nonreligion. This article uses a relational theory of nonreligion to demonstrate how ethical veganism in this case is constructed to be distinct from religious belief while also being conceptually entangled with religion. It contributes to emergent scholarship on nonreligion, and veganism and (non)religion, by demonstrating how a relational framework allows connections among these phenomena to be articulated and explored with greater depth. In addition, this article considers the diversity of ethical veganism as an identity and practice in relation to its legal construction as a philosophical belief. Attention is paid to the ways in which veganism as lived can intersect with religion, nonreligion and areligion.

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.268
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.004
Science and technology studies0.0020.007
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.087
GPT teacher head0.424
Teacher spread0.337 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations3
Published2021
Admission routes2
Has abstractyes

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