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Record W2090198790 · doi:10.1177/1470594x04046244

Dworkin’s auction

2004· article· en· W2090198790 on OpenAlexaff
Joseph Heath

Bibliographic record

VenuePolitics Philosophy & Economics · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPresumptionEgalitarianismArgument (complex analysis)Law and economicsPoliticsOrder (exchange)Mechanism (biology)Double auctionResource (disambiguation)Set (abstract data type)EconomicsMicroeconomicsSociologyPositive economicsEpistemologyPhilosophyPolitical scienceLawComputer scienceCommon value auction

Abstract

fetched live from OpenAlex

Ronald Dworkin’s argument for resource egalitarianism has as its centerpiece a thought experiment involving a group of shipwreck survivors washed ashore on an uninhabited island, who decide to divide up all of the resources on the island equally using a competitive auction. Unfortunately, Dworkin misunderstands how the auction mechanism works, and so misinterprets its significance for egalitarian political philosophy. First, he makes it seem as though there is a conceptual connection between the ‘envy-freeness’ standard and the auction, when in fact there is none. Second, he fails to appreciate how idealized the conditions are that must be satisfied in order for his results to obtain. This leads him to draw practical conclusions from the thought experiment that do not follow, such as his claim that the principle of equality generates a presumption in favor of the market as a mechanism for the distribution of resources. The result is that Dworkin saddles resource egalitarianism with a set of commitments that are, in fact, inessential to that view.

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)0.003
metaresearch head score (Gemma)0.009
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 score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0060.007
Open science0.0010.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0180.003

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 head0.066
GPT teacher head0.311
Teacher spread0.245 · 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

Citations13
Published2004
Admission routes1
Has abstractyes

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