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Record W3127374621 · doi:10.22609/1.4.1.3

Drug Policy, Paternalism and the Limits of Government Intervention

2020· article· en· W3127374621 on OpenAlexvenueno aff
D. B. Hirst

Bibliographic record

VenueInternational Journal of Political Theory · 2020
Typearticle
Languageen
FieldNeuroscience
TopicFree Will and Agency
Canadian institutionsnot available
Fundersnot available
KeywordsPaternalismFlourishingPleasureHarmLaw and economicsAutonomyPoliticsArgument (complex analysis)LawPolitical scienceHarm principleAppealSociologyPsychologySocial psychologyMedicine

Abstract

fetched live from OpenAlex

Gerald Dworkin provides an insightful starting point for determining acceptable paternalism through his commitment to protecting our future autonomy and health from lasting damage. Dworkin grounds his argument in an appeal to inherent goods, which this paper argues is best considered as a commitment to human flourishing. However, socialconnectedness is also fundamental to human flourishing and an important consideration when determining the just limits of paternalistic drug controls, a point missing from Dworkin’ essay. For British philosopher Thomas Hill Green, regulation of alcohol sales emerged from the social ideal. Green argued that policy interventions, including restricted opening hours and locations, improved the conditions for humans to flourish. Green offers a compelling political vision but fails to account for the fact pleasure is also an inherent good. He focused excessively on our social nature, excluding our more pleasure-seeking and egoistic characteristics. In contrast, a more realistic and complete vision of human flourishing can be found in an amended version of Gerald’s Dworkin’s arguments. In conclusion, this paper argues drug policy makers should remain committed to the harm principle as applied to criminal law whereby a person should never be criminalized for self-harm. Such a limit on paternalistic interventions is deemed necessary when eudaimonia is the end of government action. In practical terms, this means that the criminalization of drug use, as opposed to drug production, is always unjust.

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)0.002
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: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.298

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.030
GPT teacher head0.303
Teacher spread0.273 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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