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Record W3125101084

Ethical misconduct by abuse of conscientious objection laws.

2006· article· en· W3125101084 on OpenAlexaff
Bernard M. Dickens

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConscientious objectorConscienceLawAbortionMisconductDutyHealth careSacrificeReligious valuesPolitical scienceMedicineSpanish Civil War
DOInot available

Abstract

fetched live from OpenAlex

This paper addresses laws and practices urged by conservative religious organizations that invoke conscientious objection in order to deny patients access to lawful procedures. Many are reproductive health services, such as contraception, sterilization and abortion, on which women's health depends. Religious institutions that historically served a mission to provide healthcare are now perverting this commitment in order to deny care. Physicians who followed their calling honourably in a spirit of self-sacrifice are being urged to sacrifice patients' interests to promote their own, compromising their professional ethics by conflict of interest. The shield tolerant societies allowed to protect religious conscience is abused by religiously-influenced agencies that beat it into a sword to compel patients, particularly women, to comply with religious values they do not share. This is unethical unless accompanied by objectors' duty of referral to non-objecting practitioners, and governmental responsibility to ensure supply of and patients' access to such practitioners.

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)0.037
metaresearch head score (Gemma)0.131
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
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 score0.986
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.131
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.022
Scholarly communication0.0050.006
Open science0.0020.007
Research integrity0.0140.014
Insufficient payload (model declined to judge)0.0070.002

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 head0.019
GPT teacher head0.266
Teacher spread0.248 · 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.

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

Citations11
Published2006
Admission routes1
Has abstractyes

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