Zur Vitalität Slavischer Idiome in Deutschland. eine Empirische Studie Zum Sprachverhalten Slavophoner Immigranten
Notice bibliographique
Résumé
Jorn Achterberg. Zur Vitalttat slavischer Idiome in Deutschland. Eine empirische Studie zum Sprachverhalten slavophoner Immigranten. Slavistische Beitrage, 441. Munich: Verlag Otto Sagner, 2005. 315 pp. Bibliography, appendix. euro32, paper.The subtitle of the work under review appropriately delimits the main theme that Jorn Achterberg intends to cover, i.e., the of Slavic languages in He does not have in mind autochthonous Slavic languages in Germany, such as Lower Sorbian or Upper Sorbian, but the linguistic behaviour of Slavic immigrants in a country that has turned into a multilingual country with the largest immigration in Europe during the last 50 years. According to recent statistics (2003), 8.9% of the population of Germany is made up of immigrants; this equates to more than 7.3 million inhabitants. This figure does not include 4.4 million resettled individuals of German descent, especially from Russia. Such a mosaic of immigrants means that about ten million inhabitants of Germany make daily use of a language other than German, thus adding to the use of autochthonous minority languages, such as Serbian and Frisian, as well as the use of allochthonous minority languages, especially Turkish and Russian, in the media and in education.The author points out that while these statistics are well known, little attention has been paid to the phenomenon of multilingualism in Germany. Thus, the goal of his investigation is to present a case study of multilingualism on the basis of the linguistic behaviour of Slavophone immigrants in Germany within a sociolinguistic framework. In his case study, he proceeds from the premise that extralinguistic variables have a more significant effect on language maintenance, shift, and loss than intralinguistic variables. Furthermore, this progression in the degree of maintenance or loss is not necessarily linear, as exemplified by the varying vitality and the revitalization of endangered languages in a diaspora (p. 21).After presenting his goal and sociolinguistic variables in Chapter 1, Achterberg proceeds to a detailed overview of his theoretical and methodological framework in Chapter 2. He argues, for example, that vitality research has a different domain from both migrational linguistics and contact linguistics, since the former takes into consideration additional or different aspects in the description of a language situation. He also notes that the present-day interest in the vitality and revitalization of languages is to be seen as a revival of the ecological concern of the 192Os and 193Os about the variety of cultural species (p. 23). The chapter ends with a discussion of the contribution of Slavic studies to vitality research. The author concludes that in Slavistic research the focus has been on social, political, and economic variables, while the extralinguistic variables have been insufficiently categorized and empirically researched (p. 103). Chapter 2 makes up roughly one third of the entire volume; perhaps this is another example of the common practice in Germany of having doctoral dissertations published without substantial revisions (Achterberg's dissertation was accepted at the University of Erlangen-Nurnberg in 2005). Doctoral candidates tend to put all of the consulted literature into the dissertation without due concern for the relevance of various theories to a proposed hypothesis.Chapter 3 is a very brief chapter describing the premises, hypotheses, and variables of the investigation as well as the way the interviews were conducted. …
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 | 0,003 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,003 | 0,006 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 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 ».