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Record W2065191346 · doi:10.1093/phe/phr016

Is Mandatory Neonatal Eye Prophylaxis Ethically Justified? A Case Study from Canada

2011· article· en· W2065191346 on OpenAlexaffabout
Elizabeth Darling

Bibliographic record

VenuePublic Health Ethics · 2011
Typearticle
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsLaurentian University
Fundersnot available
KeywordsHarmWarrantContext (archaeology)Public healthIntervention (counseling)LawMedicinePolitical scienceBusinessPsychiatryNursing

Abstract

fetched live from OpenAlex

This article examines whether a policy of mandatory neonatal eye prophylaxis is ethically justified within the Canadian context. An existing framework for public health ethics is used to examine criteria that would justify state intervention in parental decision-making authority in order to protect public health. The benefits, harms, and utility of mandatory neonatal eye prophylaxis are described. Established criteria for the infringement of basic individual liberties in the interests of public health, including effectiveness, proportionality, necessity, least infringement and public justification, are considered. The extent and limits of parental decision-making authority are then discussed, and conditions that warrant state intervention in parental decision-making based on the harm principle are reviewed. Ultimately, infringement of parental authority is not deemed to be necessary to protect public health or to protect the newborn in this case and existing circumstances do not meet any criteria that would justify such an infringement. Mandatory eye prophylaxis is found not to be ethically justified in the current Canadian context.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.553

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0220.004
Scholarly communication0.0030.001
Open science0.0020.003
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.279
GPT teacher head0.424
Teacher spread0.144 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2011
Admission routes2
Has abstractyes

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