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Enregistrement W128228577

Eugenics Past and Present

2001· article· en· W128228577 sur OpenAlexaboutno aff
Michael J. Berson, Bárbara C Cruz

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineMedicine
ThématiqueReproductive Health and Technologies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEugenicsGalton's problemSurvival of the fittestDarwinismHumanitySociologyMeaning (existential)CousinEnvironmental ethicsGenealogyLawEpistemologyHistoryPhilosophyPolitical scienceGeneticsBiology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Remembering Buck v. Bell THREE GENERATIONS OF IMBECILES ARE ENOUGH. Justice Oliver Wendell Holmes AT THE END of nineteenth century, as Charles Darwin's theories of evolution were making their way to all levels of society, scientists and general public began to consider how selective breeding could improve a species's chance of survival. The theories were applied to human species as well. A number of selective breeding enthusiasts asked: to eliminate undesirable characteristics in humans, should some people be considered so defective or inferior that they should not be allowed to reproduce? Out of this climate eugenics movement grew. First coined by Sir Francis Galton, term is derived from Greek word meaning well-born or good in birth. Galton, a cousin of Darwin, incorporated Darwinian idea of survival of fittest into his notion of eugenics. The goal of eugenics was improvement of human species through careful selection of parents. Galton identified two primary processes to achieve this end. Positive eugenics encouraged individuals who were above average both mentally and physically to produce more offspring. Negative eugenics proposed that individuals who were below average should have fewer or no children. This second proposal could be achieved through institutional segregation, marriage restrictions, or sterilization. Who were early eugenicists? Some scholars believe that they were well intentioned and progressive, concerned with bettering humanity.(1) After all, this was Progressive Era, a time of hope and reform. Gerald Grob points out that eugenics advocates were persuaded that they were acting on behalf of a noble cause that would benefit humanity. They believed that medical and scientific knowledge, combined with a new technology, had reached a point in time in which eradication of inherited defects was possible.(2) Despite these idealistic beginnings, eugenics movement had devastating--and in some cases lasting--world-wide effects. The most obvious and extreme example is use of eugenics in Nazi Germany. Other, perhaps less known, practices include those in Great Britain, Sweden, Norway, Switzerland, Denmark, Finland, Austria, Brazil, Japan, Canada, and China. The movement had substantial support in United States as well, from citizen and charity groups, politicians, physicians, scientists, and mental health professionals. Proposed policies ranged from segregation laws to marriage prohibitions to immigration restrictions to sterilization, culminating in Supreme Court case of Buck v. Bell. The upcoming seventy-fifth anniversary of this momentous legal case presents an occasion to introduce students to history of eugenics, its practice in United States and throughout world, and its lasting legacy. Although topic is tempting to ignore, instructors should welcome opportunity to familiarize students with a movement that reminds us that our quest for improvement can never be divorced from ethical questions underlying those ideals. Eugenics in United States The U.S. eugenics movement was most active between 1870s and World War I. In addition to Darwin's and Galton's influences, movement benefited from 1877 publication of Richard Dugdale's study examining criminality, insanity, and poverty of a family nicknamed the Jukes. While interviewing prisoners during an inspection of a jail, Dugdale realized that six prisoners were related. He eventually tracked down 709 relatives who were related, either by marriage or by blood, through five generations. Although Dugdale's study stressed that Jukes's misfortune could be blamed as much on environmental factors as on heredity, it facilitated inaccurate beliefs that behaviors are genetically inherited. Many people concluded that crime, poverty, and disease were both innate and closely associated with sexual promiscuity, mental illness, and idiocy. …

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,631
Score d'incertitude au seuil0,089

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,036
Tête enseignante GPT0,325
Écart entre enseignants0,288 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2001
Routes d'admission1
Résumé présentoui

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