MétaCan
Menu
Retour à la cohorte
Enregistrement W4379413692 · doi:10.1353/see.2019.0022

Felder , Björn M. Weindling , Paul J. Baltic Eugenics: Bio-Politics, Race and Nation in Interwar Estonia, Latvia and Lithuania 1918â1940 Turda , Marius The History of East-Central European Eugenics, 1900â1945: Sources and Commentaries (review)

2019· article· en· W4379413692 sur OpenAlexaboutno aff
Paris Pin-Yu Chen

Notice bibliographique

RevueThe Slavonic and East European Review · 2019
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueEastern European Communism and Reforms
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEugenicsPoliticsIdeologyContext (archaeology)SociologyHistoryGender studiesClassicsEconomic historyLawPolitical scienceArchaeology

Résumé

récupéré en direct d'OpenAlex

REVIEWS 571 unfolding of the Second World War, so often absent in Western publications. The complete English translation should be acquired by university libraries where the history of international relations and the Soviet Union are taught. These volumes will open up a Soviet point of view to non-Russian readers, something needed in these days of Western anti-Russian hysteria. Département d’histoire Michael Jabara Carley Université de Montréal Felder, Björn M. and Weindling, Paul J. (eds). Baltic Eugenics: Bio-Politics, Race and Nation in Interwar Estonia, Latvia and Lithuania 1918–1940. On the Boundary of Two Worlds: Identity, Freedom, and Moral Imagination in the Baltics, 35. Rodopi, Amsterdam and New York, 2013. 333 pp. Notes. Bibliographies. €93.00. Turda, Marius (ed). The History of East-Central European Eugenics, 1900–1945: Sources and Commentaries. Bloomsbury Academic, London and New York, 2015. xxii + 630 pp. Glossaries. Notes. Bibliographies. Appendices. Index. £95.00. The first half of the twentieth century saw the rise of eugenic thoughts and practices across the globe. In Central and Eastern Europe, this eugenic trend coincided with rising national aspirations in imperial formations and the nation-building efforts of newly independent states. Central and Eastern European eugenicists pushed for their agenda in a context distinctively different from their colleagues in Britain, Germany and the United States. While eugenic ideologies and legislations in these three countries are relatively well explored in scholarly pursuits, the two edited collections reviewed here turn our attention to a region with a rich past of eugenics prior to the Second World War, yet less represented in the study of eugenics. Baltic Eugenics, a collection of conference papers from 2009, emphasizes trans-national perspectives to examine the history of eugenics in the Baltic States and its relations to the wider Baltic Sea Region, including the Soviet Union, Germany and Sweden. In particular, half of the volume focuses on interwar Estonia and Latvia. This is justifiable, given that Estonia boasted of the most institutionalized eugenic movement of the three Baltic States, and that Estonia and Latvia legalized eugenic sterilization in late 1930s. The timing of such eugenic legislations — not under democratic order but after the coups that turned Estonia and Latvia into authoritarian states — raises the important question of the relationship between authoritarianism and eugenic practices. It also invites the obvious comparison with Nazi Germany. In his introduction, Björn M. Felder argues that the eugenic agenda of Baltic authoritarian regimes SEER, 97, 3, JULY 2019 572 reflected the wish to form a ‘racial state’ that defined its nation in biological terms (p. 6). This is a convincing claim supported by evidence drawn from subsequent papers, even though other contributors show more reservation than Felder. Two chapters investigate racial anthropology and its eugenic logics of differentiating racial value in Estonia and Latvia. Ken Kalling and Leiu Heapost examine Estonian responses to Baltic German and Swedish research on the Estonian racial constitution, especially focusing on the eugenic-minded anthropologist Juhan Aul in the interwar period. They argue that his interest in the Estonian racial question were motivated by a nationalist defensiveness towards German and European scholarship that characterized Estonians as racially inferior. However, they suggest that ‘there seems to have been no particular racial goal or ideal as an agenda of popular discussions’ in Estonia (p. 93). Meanwhile, Felder takes a similar approach, focusing on the research and politics of Latvian anatomist Jēkabs Prīmanis to analyse the links between racial anthropology and eugenics in Latvia. Felder convincingly demonstrates Prīmanis’s central role in forging a Nordic racial identity for the Latvians, as well as his involvement in the national eugenic projects. In contrast to Kalling and Heapost’s reservations about the racial aspect in Estonian eugenics, Felder sharply criticizes the lack of reflection on race and eugenics in Latvian historiography. Though diverging in conclusions, these two chapters elucidate many parallels in the career development of leading Estonian and Latvian racial scientists. Comparison with Nazi sterilization law constitutes the background of two studies on eugenic practices in Estonia and Latvia. Ken Kalling argues that, while authoritarianism indeed contributed to the eugenic regulation of human reproduction, it was mainly the small nation’s...

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,008
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,023
Score d'incertitude au seuil0,066

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,008
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,011
Études des sciences et des technologies0,0010,002
Communication savante0,0030,004
Science ouverte0,0010,002
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0200,009

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 Opus0,019
Tête enseignante GPT0,232
Écart entre enseignants0,213 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

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

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

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueThe Slavonic and East European ReviewMême sujetEastern European Communism and ReformsTravaux en français237 207