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Record W1973273280 · doi:10.7202/1029066ar

Animal Ethics and Politics Beyond the Social Contract

2015· article· en· W1973273280 on OpenAlexvenueno aff
Alan Reynolds

Bibliographic record

VenueLes ateliers de l éthique · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophical Ethics and Theory
Canadian institutionsnot available
Fundersnot available
KeywordsSocial contractPluralism (philosophy)PoliticsAnimal ethicsPolitical philosophyEnvironmental ethicsEpistemologyEconomic JusticeSociologyLaw and economicsLawPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

This paper is divided into three sections. First, I describe the wide plurality of views on issues of animal ethics, showing that our disagreements here are deep and profound. This fact of reasonable pluralism about animal ethics presents a political problem. According to the dominant liberal tradition of political philosophy, it is impermissible for one faction of people to impose its values upon another faction of people who reasonably reject those values. Instead, we are obligated to justify our political actions to each other using reasons that everyone can accept. Thus, in the second section I suggest that our condition of reasonable pluralism inspires us to turn toward some form of contractarianism. The social contract tradition emerged precisely as an attempt to think about how a society characterized by deep moral disagreement could nonetheless agree about the basic principles of justice. I will show, in this section, that although the social contract tradition would seem to contain the best tools for thinking about how to deal with moral disagreement, it fails to help us think through the important issues of animal ethics. In the concluding section, I suggest some ways in which political philosophy might move beyond contractarianism when thinking about this issue, including embracing an agonistic style of politics.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.587
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.108
GPT teacher head0.314
Teacher spread0.206 · 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 teacher head, 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

Citations3
Published2015
Admission routes1
Has abstractyes

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