Preconception care and genetic risk: ethical issues
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Preconception care to address genetic risks in reproduction may be offered either individually to couples with a known or suspected increased risk of having a child with a genetic disorder, or systematically to couples or individuals of reproductive age. The identification of couples at risk of transmitting a (serious) genetic disorder allows those couples to refrain from having children or to adapt their reproductive plans (using prenatal or preimplantation diagnosis, donor gametes, or adoption). Ethical issues concern the possible objectives of providing these options through preconception genetic counseling or screening, objections to abortion and embryo-selection, concerns about eugenics and medicalization, and issues arising in the professional-client relationship and/or in the light of the normative framework for population screening. Although enhancing reproductive autonomy rather than prevention should be regarded as the primary aim of preconception care for genetic risks, directive counseling may well be acceptable in exceptional cases, and prevention in the sense of avoiding serious suffering may be an appropriate objective of specific community-based preconception screening programmes. The seemingly unavoidable prospect of comprehensive preconception screening raises further ethical issues.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it