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Record W2030165590 · doi:10.1353/ken.2006.0005

Stem Cell Research in a Catholic Institution: Yes or No?

2006· article· en· W2030165590 on OpenAlexaff
Michael R. Prieur, Jo‐An Occhipinti, L Hardingham, David Hill, Gillian Kernaghan, Debra L. Miller, Sandy Morton, Mary Rowell, John F Vallely, Suzanne Wilson

Bibliographic record

VenueKennedy Institute of Ethics journal · 2006
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsSt. Peter's Hospital
Fundersnot available
KeywordsInstitutionEmbryonic stem cellContext (archaeology)Stem cellEnvironmental ethicsNarrativeSociologyEngineering ethicsPolitical scienceLawBiologyCell biologyPhilosophyGenetics

Abstract

fetched live from OpenAlex

Catholic teaching has no moral difficulties with research on stem cells derived from adult stem cells or fetal cord blood. The ethical problem comes with embryonic stem cells since their genesis involves the destruction of a human embryo. However, there seems to be significant promise of health benefits from such research. Although Catholic teaching does not permit any destruction of human embryos, the question remains whether researchers in a Catholic institution, or any researchers opposed to destruction of human embryos, could participate in research on cultured embryonic stem cells, or whether a Catholic institution could use any therapy that ultimately results from such research. This position paper examines how such research could be conducted legitimately in a Catholic institution by using an ethical analysis involving a narrative context, the nature of the moral act, and the principle of material cooperation, along with references to significant ethical assessments. It also offers tentative guidelines that could be used by a Catholic institution in implementing such research.

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)0.022
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.022
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0080.033
Scholarly communication0.0070.009
Open science0.0010.004
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0040.001

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 head0.271
GPT teacher head0.453
Teacher spread0.182 · 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 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

Citations14
Published2006
Admission routes1
Has abstractyes

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Same venueKennedy Institute of Ethics journalSame topicReproductive Health and TechnologiesFrench-language works237,207