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Record W3032468879 · doi:10.1136/medhum-2019-011812

A brief and personal history of ‘what’s in a name’ in reproductive genetics

2020· article· en· W3032468879 on OpenAlexaff
Jeff Nisker

Bibliographic record

VenueMedical Humanities · 2020
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsWestern University
Fundersnot available
KeywordsEgg donationScrutinyBioethicsReproductive medicineLegislationReproductive technologyGeneticsLawBiologyGenealogyPolitical sciencePregnancyHistory

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.302

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.050
GPT teacher head0.256
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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