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Record W2767870560 · doi:10.1163/17455243-46810078

A Problem for Global Egalitarianism

2017· article· en· W2767870560 on OpenAlexaff
Louis‐Philippe Hodgson

Bibliographic record

VenueJournal of Moral Philosophy · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsYork University
Fundersnot available
KeywordsEgalitarianismDistributive justiceRealmArgument (complex analysis)Economic JusticeLaw and economicsSociologyPoliticsContext (archaeology)Global justiceSimple (philosophy)Positive economicsDistributive propertyProcedural justiceEconomicsEpistemologyLawPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Do the demands of egalitarian justice extend to the international realm? Some believe that a positive answer follows from a simple line of reasoning: where a child happens to be born is a morally arbitrary fact; accordingly, it shouldn’t unduly influence her life prospects, as will inevitably be the case unless economic inequalities between countries are ironed out. I argue that this style of argument overlooks an important problem concerning the extent to which a person can unilaterally impose enforceable obligations on others by choosing to have a child. I maintain that properly egalitarian duties of distributive justice only arise when this problem of unilateral imposition has been solved. I further argue that solving the problem requires robust political institutions that do not exist in the international context—institutions instantiating a version of what John Rawls calls pure procedural justice, to ensure that the aggregate result of individual reproductive choices is acceptable to all.

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)0.011
metaresearch head score (Gemma)0.015
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 score0.011
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.032
Scholarly communication0.0070.012
Open science0.0020.008
Research integrity0.0060.015
Insufficient payload (model declined to judge)0.0110.002

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 head0.148
GPT teacher head0.401
Teacher spread0.253 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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