A brief and personal history of ‘what’s in a name’ in reproductive genetics
Bibliographic record
Abstract
Although Juliet's claim, 'What's in a name? That which we call a rose by any other name would smell as sweet', may apply to family names, 'that which we call' embryos and procedures in reproductive genetics often smell sweet because the names were created to perfume not-so-sweet-smelling practices. Reproductive-genetic scientists and clinicians, including myself, have used perfumed names to make our research smell sweet for research ethics boards, research grant funders, government regulators, hospital administrators and the general public. The sweet-smelling names in reproductive genetics explored here include 'pre-embryo', preimplantation genetic 'diagnosis', 'normal' embryo, 'suitable' embryo, 'healthy' embryo, preimplantation genetic 'testing', 'non-invasive prenatal testing', 'donation', and most recently 'mitochondrial replacement therapy', a sweet-smelling name for germline nuclear transfer prohibited in antireproductive cloning legislation in most countries. In order for informed choices to occur for women who come to clinicians for information regarding reproductive genetics, and for transparency of scrutiny by research ethics boards, governmental regulators and the general public, it is essential that we consider the real meaning of sweet-smelling names in reproductive genetics.
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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 | 0.006 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.004 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.008 | 0.016 |
| Insufficient payload (model declined to judge) | 0.017 | 0.008 |
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".