Religion at Work in Bioethics and Biopolicy: Christian Bioethicists, Secular Language, Suspicious Orthodoxy
Bibliographic record
Abstract
The proper role, if any, for religion-based arguments is a live and sometimes heated issue within the field of bioethics. The issue attracts heat primarily because bioethical analyses influence the outcomes of controversial court cases and help shape legislation in sensitive biopolicy areas. A problem for religious bioethicists who seek to influence biopolicy is that there is now widespread academic and public acceptance, at least within liberal democracies, that the state should not base its policies on any particular religion's metaphysical claims or esoteric moral system. In response, bioethicists motivated by religious concerns have adopted two identifiable strategies. Sometimes they rely on slippery-slope arguments that, sometimes at least, have empirically testable premises. A more questionable response is the manipulation and misuse of secular-sounding moral language, such as references to "human dignity," and the plights of groups of people labeled "vulnerable."
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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 | 0.017 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.105 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.011 | 0.014 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".