Liberalism and mitochondrial replacement technique
Bibliographic record
Abstract
How should defenders of liberalism think about access to reproductive technologies? Mitochondrial replacement technique (MRT) enables women with pathogenic variations of mitochondrial disease to have children without the fear of transmission. This technology can also allow lesbians, or partners with female-assigned physiology (PFP), to have genetically related offspring. Cavaliere and Palacios-Gonzalez argue that lesbians should be able to access MRT on autonomy grounds. They argue MRT should not be restricted to those with mitochondrial disease because it is non-therapeutic and invokes the Millian harm principle. Yet, Baylis argues that a desire for genetically related offspring is not sufficient to access MRT because it contributes to harmful social narratives about adopted families. I strengthen Cavaliere and Palacios-Gonzalez's liberal defence by bringing another liberal commitment-equality. Ultimately, I argue that the liberal state must allow PFPs to use MRT. I first show that the use of MRT by PFPs is permissible even if MRT is therapeutic by comparing MRT with cosmetic surgery-that is, social uses of therapeutic interventions are permitted if we are interested in doing so. Borrowing from Dillard, a possible interest is self-replication. Next, I outline and respond to a possible criticism by Baylis-MRT is necessary but not sufficient for self-replication. Ultimately, I show that the liberal state must permit MRT because (a) it provides PFPs with an equal opportunity to experience having genetically related offspring with their partner and (b) contributing to harmful social narratives is insufficient for limiting autonomy.
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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 | 0.014 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.062 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.010 | 0.013 |
| Insufficient payload (model declined to judge) | 0.003 | 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".