Testimony in Support of Indiana Senate Bill 334, A Bill to Prohibit Prenatal Discrimination by Prohibiting Abortion Based on Sex Selection or Genetic Abnormality.
Notice bibliographique
Résumé
To the Distinguished Chair and Honored Members of the Committee.Thank you for the opportunity to testify IN SUPPORT of SB 334, the bill to prohibit prenatal discrimination, by prohibiting abortion based on sex selection or genetic abnormalityI am a cell biologist, currently working for the Charlotte Lozier Institute in Washington, D.C. as Vice President and Research Director; I also serve as an adjunct professor at a Washington, D.C. university, and as an Advisory Board Member for the Midwest Stem Cell Therapy Center, a unique comprehensive stem cell center in Kansas. Previously I spent 10 years as Senior Fellow for Life Sciences at another policy think tank in Washington, D.C., and prior to that was almost 20 years a Professor of Life Sciences at Indiana State University, and Adjunct Professor of Medical and Molecular Genetics, Indiana University School of Medicine. Before that I was a faculty member in the Department of Obstetrics, Gynecology and Reproductive Sciences, University of Texas Medical School at Houston. I have done federally-funded laboratory research, lectured, and advised on these subjects extensively in the U.S. and internationally. I've taught embryology, developmental biolog)?, molecular biology and biochemistry for over 30 years to medical and nursing students, as well as undergraduate and graduate students. I am testifying in my capacity as a scientist and on behalf of the Charlotte Lozier Institute.This bill deals with preventing discrimination based on gender, or based on genetic differences, in pre-born human beings. While it might seem to some people that this is a straightforward and logical protection that is unnecessary, there is ample evidence for the need of such protection.Gender in humans is determined by the sex chromosomes, X and Y, within an individual's cells. If you have two X chromosomes (XX) you are female, if XY you are male. This genetic composition is determined at the moment of conception. Likewise many genetic abnormalities, such as Down syndrome in which an individual has an additional chromosome 21, Edwards syndrome which is trisomy 18, Patau syndrome which is trisomy 13, and numerous other single-gene and multi-gene problems, are determined at conception when the sperm and egg fuse to form the zygote, the single-celled human organism.Eugenics is the term given to attempts to control human heredity. In the past, such attempts have included efforts at selective breeding of high-quality individuals, selective sterilization of others to prevent offspring, and even infanticide. Today we see eugenic attempts at what some have termed gendercide, usually selecting for boys and against girls, in the womb or as embryos in the laboratory.There is ample evidence to show that gender selection abortion occurs in countries such as China and India.1 One group even claims that the three deadliest words in the world are It's a girl.2 Globally it is estimated that there are between 160 million and 200 million missing girls, due to sex-selection abortion.3But this problem also occurs in the United States, Canada, and other Western nations. The lack of proper records or mandated reports makes it more difficult to accumulate data on prenatal gender discrimination in North America, but there are now a number of studies that document similar sex-selection abortions taking place in the U.S. and in Canada,4 and evidence as well for the U.K.5 As in other countries, the targets are primarily girls, selected against for birth. Some opponents of prohibitions against sex-selection abortions state that such abortions are rare, but that is a tacit admission that some sex-selection abortions occur. Even one gender discrimination abortion is too many.Chapman and Benn note that the availability of a non-invasive prenatal test (NIPT) that analyzes DNA fragments in the mother's blood plasma may lead to greater sex selection in developed countries.6 Some centers now even advertise the ability to determine fetal gender as early as 10 weeks post-fertilization,7 and published papers are pushing this determination even earlier, to 7 weeks8 or even 6 weeks9 after conception. …
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,005 | 0,001 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,007 | 0,017 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,071 | 0,024 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».