TWO STALEMATES IN THE PHILOSOPHICAL DEBATE ABOUT ABORTION AND WHY THEY CANNOT BE RESOLVED USING ANALOGICAL ARGUMENTS
Bibliographic record
Abstract
Philosophical debate about the ethics of abortion has reached stalemate on two key issues. First, the claim that foetuses have moral standing that entitles them to protections for their lives has been neither convincingly established nor refuted. Second, the question of a pregnant woman's obligation to allow the gestating foetus the use of her body has not been resolved. Both issues are deadlocked because philosophers addressing them invariably rely on intuitions and analogies, and such arguments have weaknesses that make them unfit for resolving the abortion issue. Analogical arguments work by building a kind of consensus, and such a consensus is virtually unimaginable because (1) intuitions are revisable, and in the abortion debate there is great motive to revise them, (2) one's position on abortion influences judgments about other issues, making it difficult to leverage intuitions about other ethical questions into changing peoples' minds about abortion, and (3) the extent of shared values in the abortion debate is overstated. Arguments by analogy rely on an assumption of the commensurability of moral worldviews. But the abortion debate is currently unfolding in a context of genuinely incommensurable moral worldviews. The article ends by arguing that the default position must be to permit abortion as a consequence of the freedom of conscience protected in liberal societies.
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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 | 0.042 | 0.072 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.050 |
| Scholarly communication | 0.009 | 0.026 |
| Open science | 0.005 | 0.010 |
| Research integrity | 0.018 | 0.025 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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".