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Record W186906745

La bioéthique et le droit canonique

2008· article· fr· W186906745 on OpenAlexvenueno aff
Noël Simard

Bibliographic record

VenueStudia canonica · 2008
Typearticle
Languagefr
FieldMedicine
TopicPatient Dignity and Privacy
Canadian institutionsnot available
Fundersnot available
KeywordsBioethicsCanon lawMagisteriumCompassionSociologyLawConstruct (python library)Health careCode (set theory)Order (exchange)Political scienceEpistemologyPhilosophyComputer science
DOInot available

Abstract

fetched live from OpenAlex

SUMMARY Contemporary bioethics is confronted with a wide variety of serious challenges. Specialists in the theological and religious disciplines are increasingly involved in the bioethical debate. The author asks: Are there specific challenges posed to canon law in these discussions? Since the Church is an important provider of health care, it is surprising that there are not at least some general provisions in the Code. One response is that the Code provides for order and discipline in the Church. The Church provides norms and guidance for medicine and healthcare in other documents of the magisterium. The author suggests that it is inevitable that various bioethical questions will enter into the field of canonical reflection. Several major challenges which the biomedical sciences pose to both ethics and canon law are identified. The author analyzes several major scenarios and suggests how canon law can contribute to these discussions by drawing upon its rich history and helping to construct a response to these problems in the life of the faithful. The author also suggests that such participation in the debate is part of the mission of canon law itself, especially in assisting the faithful to achieve their salvation. This function is especially evident in the display of compassion and assistance in the resolution of conflicts, both personal and collective.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.860
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.048
GPT teacher head0.308
Teacher spread0.260 · 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 designNot applicable
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

Citations0
Published2008
Admission routes1
Has abstractyes

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