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Record W3023215759 · doi:10.1111/japp.12434

Poverty and the Peril of Particulars

2020· article· en· W3023215759 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Applied Philosophy · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicWar, Ethics, and Justification
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAppealPovertyDutyArgumentativeOddsPolitical scienceLawSociologyFace (sociological concept)Duty to protectLaw and economicsSocial scienceComputer scienceLogistic regression

Abstract

fetched live from OpenAlex

Abstract Moral extremists argue for a demanding duty of poverty relief by leveraging powerful intuitions about our duties to rescue those close at hand. I clear the way for a less demanding duty by arguing that this argumentative strategy commits the extremist to a conception of our duty in the face of global poverty that is deeply at odds with our convictions about how we may discharge that duty. These convictions reveal that global poverty and easy rescue cases give rise to duties of different kinds: whereas duties of rescue are ultimately explicable by appeal to moral claims to assistance, duties of poverty relief are not. The extremist’s most compelling argumentative strategy is therefore not viable—he may not straightforwardly appeal to facts about the demandingness of duties of rescue in arguing for demanding duties of poverty relief.

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.

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 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 score0.749
Threshold uncertainty score0.167

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.059
GPT teacher head0.220
Teacher spread0.160 · 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