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Record W2921528712 · doi:10.5206/uwomj.v85i2.4131

Defending public health policies from objections of paternalism

2016· article· en· W2921528712 on OpenAlexvenueno aff
Matthew Greenacre

Bibliographic record

VenueUniversity of Western Ontario Medical Journal · 2016
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsnot available
Fundersnot available
KeywordsPaternalismIndividualismHarmCriticismLegislationIndividualistic cultureLaw and economicsPolitical sciencePublic healthCollectivismPublic policySociologyLawMedicineNursing

Abstract

fetched live from OpenAlex

Paternalism is defined as an action that infringes a person’s liberty and is performed without their consent, but is intended to improve a person’s welfare. As such, many public health policies are criticized as being paternalistic because they attempt to influence citizens’ behaviours to prevent disease or injury. Therefore, public health advocates ought to be aware of what justifies paternalism. Arguments based on the harm principle are the strongest defense of paternalistic policies in Western culture, but reinforcing an individual’s integrity and improving social welfare may also be considered sufficient reasons. In practice, what is considered sufficient reason for paternalism depends upon the culture of the affected society. Collectivist cultures are willing to accept a paternalistic policy in exchange for a better quality of life for their whole community, but individualist cultures are very averse to such a trade. This article provides examples of how these principles arise in the debate over implementing anti-obesity legislation. Advocates must recognize paternalism and know when it is acceptable in order to defend public health policy from that common criticism.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.101
GPT teacher head0.387
Teacher spread0.287 · 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 designObservational
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

Citations4
Published2016
Admission routes1
Has abstractyes

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