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Record W2525568475 · doi:10.1017/9781316104439.010

Equality and Discrimination

2020· book-chapter· en· W2525568475 on OpenAlexaff
Sophia Moreau

Bibliographic record

VenueCambridge University Press eBooks · 2020
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDistributive justiceMistakeEconomic JusticeLaw and economicsEgalitarianismRedistribution (election)Distributive propertyValue (mathematics)InequalityDemocracyPolitical scienceSociologyPositive economicsLawEconomicsMathematicsPolitics

Abstract

fetched live from OpenAlex

Ever since the publication of John Rawls’ A Theory of Justice in 1971, Anglo-American philosophers have discussed the nature of equality and its place in a theory of distributive justice. 1 They have asked whether it is equality per se that is valuable, or priority for those who are worst off, or perhaps sufficiency – that is, ensuring that each person has enough. 2 They have also asked about the ‘currency’ of egalitarian justice: what is it that should be distributed equally? Is it welfare, resources, opportunities, or perhaps what Amartya Sen called ‘capabilities’? 3 In response, philosophers such as Elizabeth Anderson, Samuel Scheffler and Joshua Cohen have argued that it is a mistake to think of the value of equality solely in distributive terms. 4 Rather, within a democratic society, we need to aim at relational equality – that is, relationships of equal status, in which no one is unfairly subordinated to others. Relational equality requires the redistribution of certain goods; so it is not unrelated to distributive equality. But from the standpoint of relational equality, particular distributive goals matter only insofar as they help us achieve a society in which no one is relegated to the status of a second-class citizen. And to achieve such a society, we need to pay particular attention not just to how various goods are distributed, but also to inappropriate expressions of deference toward certain groups and censure of others, and to policies and structures that inadvertently leave certain groups unable to see themselves as full and equal participants in society.

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)0.006
metaresearch head score (Gemma)0.010
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: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0100.040
Scholarly communication0.0090.009
Open science0.0010.011
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0150.002

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 head0.100
GPT teacher head0.285
Teacher spread0.185 · 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
GenreOther

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

Citations11
Published2020
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicPolitical Philosophy and EthicsFrench-language works237,207