Bibliographic record
Abstract
The recent case of German siblings Patrick Stübing (age 30 years) and his sister Susan Karolewski (age 22 years) has reignited debate over the criminalisation of sexual intercourse among consanguine descendants. The primary justification for criminalising incest is the purported increased risk of genetic disabilities among offspring, but is criminalising sexual intercourse an empirically sound and proportionate response to this increased risk? To answer this question we must consider the specifics of the harm in question (eg, is it a harm to the child or a societal harm) and the magnitude of the harms of the intervention. The example of incest law has important implications for liberal societies. If we can justify imprisoning consenting adults for choosing partners who will increase the risk of having children with disabilities, then we set a troubling precedent for all couples who may pass on genetic disorders to their children.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.024 | 0.055 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.044 |
| Scholarly communication | 0.010 | 0.017 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.033 | 0.044 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".