Enriching Proportionalism Through Christian Narrative in Bioethics: The Decisive Development in Richard McCormick's Moral Theory?
Bibliographic record
Abstract
In this short response to Peter Clarke's thorough and interesting tracing of the developments in Richard McCormick's approach to moral questions, I take a perspective external to the concerns of Clarke's paper. I propose to look at the developments in McCormick's approach not so much from the perspective of contemporary Catholic moral theology but from that of the impact on the practices and beliefs of the Catholic community. From that perspective, the really important events in McCormick's theological development are his rejection of the received teaching on contraception and his closely connected embracing of a moral theory that implies that there are no moral absolutes, namely, proportionalism.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.060 | 0.176 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.021 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.033 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".