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Record W4387378616 · doi:10.1080/13698230.2023.2265214

Obedience responsibility

2023· article· en· W4387378616 on OpenAlex
Richard Vernon

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

VenueCritical Review of International Social and Political Philosophy · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsWestern University
Fundersnot available
KeywordsArgument (complex analysis)TolerationObediencePoliticsState (computer science)LawCitizenshipLaw and economicsSociologyPolitical scienceLiabilityEconomic JusticePolitical philosophyEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Avia Pasternak’s Responsible Citizens, Irresponsible States makes a case for concluding that ‘intentional citizens’ of states should be held liable, in the sense of being chargeable for remedial costs, when their state has caused wrongful damage to another state. In making this case, the book steers a course between purely ascriptive views that assign liability on the basis of membership alone, and intentionalist views that require a stronger connection with the fault. The exemptions from liability that the book acknowledges, however, may raise questions about its overall case, by implicating more individualized ideas of intention. Even so, the argument may be read as a compelling forward-looking warning about the risks of citizenship.

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)0.002
metaresearch head score (Gemma)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
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 score0.979
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
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 head0.146
GPT teacher head0.457
Teacher spread0.311 · 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