Vědecký exil v období komunistického režimu: Emigrace z Československé akademie věd
Notice bibliographique
Résumé
Exile of Scientists and Scholars in the Era of the Communist Regime. Emigration from the Czechoslovak Academy of Sciences The paper’s task is to give basic characteristics of emigration of scientists and scholars from the Czechoslovak Academy of Sciences (CSAS) in the era of Communist regime with special emphasis on the wave of exiles in 1968–1970. The paper is based on two information collections. The first is database of CSAS workers who emigrated in between 1953 and 1989; the data were collected as a part of a research project on Czech scientists and scholars in exile 1948–1989 and information is continuously added. The second source is a selection of the most significant scientists and scholars from the database in the soon-to-be published book Sto českých vědců v exilu (Hundred Czech scientists and scholars in exile). The authors succeeded in collecting their comparable and mutually interpretable biograms in that volume. The data are analyzed quantitatively in the first part of the paper. It focuses on many questions, among them the proportion of emigrants to the number of scientific workers; their numbers before 1968, in 1968–1970, and during the so-called normalization (1971–1989); stratification according to the different disciplines, institutes, or scientific branches; age stratification; career status; and so on. The total number of emigrants was between 760 and 790 persons; it represented 6–7 % of the total number of workers in the Academy. The majority of them left from April 21, 1968, to 1970. A broad spectrum of scientific branches was represented among the emigrants, with the share of chemists higher than average. Prosopographic analysis showed that the core of emigrants were scientists and scholars born in the years 1918–1941 who mostly emigrated at ages 26–40 (rather strong is also a group that left at ages 40–50). Most of them emigrated to U. S. A., others to Canada, West Germany, and other European countries. In the second part of the article, the emigration of scientists and scholars is evaluated generally and also in separate periods with emphasis on the personal motivation on the one hand and institutional and political conditions on the other. Before their departures, the scientists and scholars were as workers of the Academy loyal to the Communist regime and some of them were also its admirers; however, their loyalty was strongly undermined by invasion of the Soviet army in August 1968. It made them feel acutely threatened existentially, and memories of World War II influenced the intensity of this feeling (many scientists were during the war prisoners from concentrations camps or they had other bad experience), as did persecution from the 1950s (three of them were political prisoners from the period, many others were persecuted in other ways). In their roles, they even exhibited fear of political engagement during the Prague Spring. The possibilities for their future scientific careers abroad also contributed to their decisions to emigrate.
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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,006 | 0,010 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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 ».