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Record W2087399804 · doi:10.1159/000263887

Reproductive Genetics: Canadian and European Perspectives

2009· review· en· W2087399804 on OpenAlexaffabout
Bartha Maria Knoppers, Sonia Le Bris

Bibliographic record

VenueFetal Diagnosis and Therapy · 2009
Typereview
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsReproductive medicineGenetic testingRelativismMedicineAssisted reproductive technologyReproductive technologyHuman geneticsGenetic counselingInfertilityGeneticsEpistemologyPregnancy

Abstract

fetched live from OpenAlex

Unlike medically assisted conception, the issue of the impact on women of reproductive genetic testing has been characterized by the emergence of a more 'relativist' position. This relativist position is grounded in the understanding of the universality of problems arising from human genetics. An analysis of the major reports emanating from different European countries will demonstrate that the discussion regarding the impact of medically assisted conception and reproductive genetic testing on women is often incidental and secondary. There are similarities and differences in the issues raised in the evaluation of both these technologies. Similarities, in their experimental character, the concomitant social pressure, the myth of the perfect child and the increased medicalization. Differences, in the inherent responsibility or guilt accompanying genetic testing, the timing of choices, the possibility of sex selection, the use and control of genetic information, the sense of intergenerational responsibility and the current qualification of such genetic testing as medical and diagnostic as opposed to a technology of 'convenience' as was often the case with the treatment of infertility. In contrast to the European reports, the work of the Canadian Royal Commission on New Reproductive Technologies has as its primary focus the impact of both these technologies on women, children and society.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.997
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.075
GPT teacher head0.354
Teacher spread0.279 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations9
Published2009
Admission routes2
Has abstractyes

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