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Record W2016340764 · doi:10.1353/hms.2010.0020

David Hume, Paternalist

2010· article· en· W2016340764 on OpenAlexvenueno aff
Michael Ridge

Bibliographic record

VenueHume studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyEpistemologyPaternalismPolitical scienceLaw

Abstract

fetched live from OpenAlex

A standard worry about Hume’s account of justice is that it leaves those who are most vulnerable outside the circumstances of justice. An equally standard reply is that those who are so vulnerable as to fall outside the scope of justice need not thereby fall outside the scope of morality altogether, because on Hume’s account we will often have duties of humanity to treat vulnerable creatures decently. It is not clear that this reply is adequate, for given the apparent priority of justice over natural virtues like those of humanity, it is not clear that duties of humanity provide enough protection for the weak. This paper identifies another problem with Hume’s reply: if those who are extremely vulnerable are nonetheless rational and fully capable of autonomous judgment about how to live, then Hume’s theory still delivers the wrong sorts of protections for them. In particular, it is very plausible to suppose that it would be immoral to engage in paternalistic interference with the decisions of such weak but rational agents about how to live, as long as they are not thereby harming or wronging anyone else. Treating such rational but vulnerable agents paternalistically seems unjust, but Hume’s account cannot vindicate this intuition. Indeed, Hume not only cannot explain why such paternalism is unjust, he seems forced to conclude that we will often be obligated by duties of humanity to engage in such paternalism. For Hume seems committed to the unpalatable conclusion that morality speaks unambiguously in favour of paternalistic interference in such cases as long as we can be reasonably sure that the intended beneficiaries really will be made better off. In this paper, I develop and press this new objection from paternalism against Hume’s account of the circumstances of justice.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.721
Threshold uncertainty score0.640

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.162
GPT teacher head0.444
Teacher spread0.282 · 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.

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

Citations6
Published2010
Admission routes1
Has abstractyes

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