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<scp>The Repugnant Conclusion and Utilitarianism under Domain Restrictions</scp>

2008· article· en· W2160048429 on OpenAlexaff
Leslie Shiell

Bibliographic record

VenueJournal of Public Economic Theory · 2008
Typearticle
Languageen
FieldDecision Sciences
TopicDecision-Making and Behavioral Economics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsUtilitarianismEconomicsDomain (mathematical analysis)Bounded functionSubsistence agriculturePopulationConsumption (sociology)MathematicsBiologyEcologyPhilosophyDemographySociologyEpistemology

Abstract

fetched live from OpenAlex

Abstract The paper investigates the problem of the repugnant conclusion in variable‐population social choice. A choice rule exhibits the repugnant conclusion if, given any alternative in which all individuals enjoy a high quality of life, there is always a better alternative (according to the choice rule) in which the population is larger and each individual has a life which is barely worth living. While it is well‐known that classical utilitarianism (CU) exhibits the repugnant conclusion on an unrestricted domain, the paper shows that critical‐level utilitarianism (CLU) also exhibits the repugnant conclusion on an unrestricted domain when repugnance is defined in terms of the critical level. In contrast, both CU and CLU are shown to avoid the repugnant conclusion on a restricted domain defined by bounded resources, the law of conservation of matter, concavity and monotonicity of preferences, positive subsistence consumption, and positive “neutral consumption.” In light of the universality of these restrictions, one may conclude that the problem of the repugnant conclusion may not be as great as previously thought.

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)0.014
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.279
Threshold uncertainty score0.638

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.131
GPT teacher head0.346
Teacher spread0.215 · 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

Citations5
Published2008
Admission routes1
Has abstractyes

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