Bibliographic record
Abstract
Mrs. I is 25 years old and is about 10 weeks' pregnant. She has tuberculous meningitis. Her disease was in an advanced stage when she was admitted to hospital and underwent surgery to relieve the pressure on her brain. She is now clinically brain dead. Her husband – like the patient, a devout Catholic – requests that her body be maintained on life support in the intensive care unit to save her fetus. Other family members concur that she is “pro-life” and would want to carry the fetus to term if possible. (Although far from typical, this is an actual case. All of the details included in this discussion are taken from the public record [Fox 1999; Priest and Slaughter 1999]). What is Catholic bioethics? There is a long tradition of bioethical reasoning within the Roman Catholic faith, a tradition that extends from Augustine's writings on suicide in the early Middle Ages to recent papal teachings on euthanasia and reproductive technologies. Roman Catholic bioethics (which we refer to in this article simply as Catholic bioethics) comprises a complex set of positions that have their origins in scripture, the writings of the doctors of the Church, papal encyclicals, and reflections by contemporary Catholic theologians and philosophers. Informed by scriptural exegesis and by philosophical argument, Catholic bioethics is rooted in both faith and in reason.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.017 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".