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Record W3100604157 · doi:10.1017/9781108678834

Kant and Global Distributive Justice

2020· book· en· W3100604157 on OpenAlexaff
Sylvie Loriaux

Bibliographic record

VenueCambridge University Press eBooks · 2020
Typebook
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsUniversité Laval
FundersUniversity of OxfordUniversity of CambridgeUnited Nations Development ProgrammeJohns Hopkins UniversityWorld Health OrganizationUNICEFWorld Bank Group
KeywordsDutyGlobal justiceDistributive justiceNormativeState (computer science)ImmigrationLaw and economicsPolitical scienceElement (criminal law)PovertyPoliticsEconomic JusticeDistributive propertyInequalityCore (optical fiber)Socioeconomic statusSociologyPositive economicsLawEconomicsComputer scienceMathematicsPopulation

Abstract

fetched live from OpenAlex

This Element argues that although Kant's political thought does not tackle issues of global poverty and inequality head on, it nonetheless offers important conceptual and normative resources to think of our global socioeconomic duties. It delves into the Kantian duty to enter a rightful condition beyond the state and shows that a proper understanding of this duty not only leads us to acknowledge a duty of right to assist states that are unable to fulfil the core functions of a state, but also provides valuable hints at what just transnational trade relations and a just regulation of immigration should look like.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.902
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.048
GPT teacher head0.274
Teacher spread0.225 · 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.

Study designNot applicable
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

Citations23
Published2020
Admission routes1
Has abstractyes

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