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Die vorliegende Studie untersucht die Besonderheiten diskursiver Strategien, sowie struktureller und sprachlicher Merkmale der japanischsprachigen Textsorte Literatur-Rezension. Auf der Grundlage der herausgearbeiteten textlinguistischen Merkmale werden Didaktisierungsbeispiele für den Fachtext-Leseunterricht entworfen. Ziel ist somit der Entwurf einer textlinguistischen Fundierung der (Fach-)textlektüre am Beispiel der Textsorte Rezension.
Die Materialbasis der vorliegenden Studie bilden 45 Rezensionen literarischer Neuerscheinungen aus dem wöchentlich erscheinenden Rezensionsorgan Tosho shinbun (Die Bücherzeitung) des Jahres 1999.
Die Kriterien für die Analyse werden aus einem Modell des Textsortenwissens von Fix 2006 abgeleitet (Teil I). Bei der Analyse stehen daher Aspekte im Zentrum, die den Aufbau von Wissen (Schemata) über die Textsorte bzw. Textsortenkonventionen und deren struktureller und sprachlicher Realisationen dienen können. Übergeordnete Phänomene wie Tempusgebrauch oder Fachsprachlichkeit werden ebenfalls untersucht. Eine quantitative Auswertung der Ergebnisse ermöglicht Rückschlüsse auf die didaktische Relevanz eines beobachteten Phänomens (Teil II).
Kriterien zur Textauswahl und Progression bei der Didaktisierung ausgewählter Rezensionen liefert ein Ansatz von Sandig 2000, die eine Klassifizierung von Texten auf der Grundlage der Prototypentheorie vorschlägt. Danach verdichten sich bestimmte Kommunikationsmuster zu mentalen Textschemata mit unterschiedlichen Ausprägungen je nach Prototypikalität der Texteigenschaften.
Das konstruktivistische Leseprozessmodell von Wolff 1990 schließlich liefert die Vorgaben, nach denen die Ergebnisse der Textanalyse anhand ausgewählter Beispiele lesedidaktisch aufbereitet werden (Teil III).
Der Anhang (Teil IV) bietet eine Zusammenstellung von in den untersuchten Rezensionen verwendeten Ausdrücken, der sich auf die Darstellung, Interpretation, Analyse und Bewertung von literarischen Werken beziehen.
The present work explores how theories of motivation can be used to enhance video game research. Currently, Flow-Theory and Self-Determination Theory are the most common approaches in the field of Human-Computer Interaction. The dissertation provides an in-depth look into Motive Disposition Theory and how to utilize it to explain interindividual differences in motivation. Different players have different preferences and make different choices when playing games, and not every player experiences the same outcomes when playing the same game. I provide a short overview of the current state of the research on motivation to play video games. Next, Motive Disposition Theory is applied in the context of digital games in four different research papers, featuring seven studies, totaling 1197 participants. The constructs of explicit and implicit motives are explained in detail while focusing on the two social motives (i.e., affiliation and power). As dependent variables, behaviour, preferences, choices, and experiences are used in different game environments (i.e., Minecraft, League of Legends, and Pokémon). The four papers are followed by a general discussion about the seven studies and Motive Disposition Theory in general. Finally, a short overview is provided about other theories of motivation and how they could be used to further our understanding of the motivation to play digital games in the future. This thesis proposes that 1) Motive Disposition Theory represents a valuable approach to understand individual motivations within the context of digital games; 2) there is a variety of motivational theories that can and should be utilized by researchers in the field of Human-Computer Interaction to broaden the currently one-sided perspective on human motivation; 3) researchers should aim to align their choice of motivational theory with their research goals by choosing the theory that best describes the phenomenon in question and by carefully adjusting each study design to the theoretical assumptions of that theory.
Heterogenität ist Teil des (Schul-)Alltags, was sich in den Lerngruppen widerspiegelt, die Lehrkräfte in der Schule vorfinden. Unterschiedlichen Bedürfnissen auf Seiten der Schüler/-innenschaft soll – und das ist in zahlreichen der Öffentlichkeit zugänglichen Dokumenten, wie Schulgesetzen, Schulordnungen und Standards für die Lehrerbildung festgeschrieben – in Form von Differenzierung begegnet werden. Innerhalb dieser Dissertation wird untersucht, wie Binnendifferenzierung auf Mikroebene in der Schulpraxis implementiert wird. Dabei werden die Einsatzhäufigkeit binnendifferenzierender Maßnahmen und Kontextvariablen von Binnendifferenzierung untersucht. Anhand einer Stichprobe von N = 295 Lehrkräften verschiedener Schulformen, die die Fächer Deutsch und/oder Englisch unterrichten, wurde u.a. gezeigt, dass Binnendifferenzierung allgemein nicht (sehr) häufig eingesetzt wird, dass manche Maßnahmen häufiger Einsatz finden als andere, dass an Gymnasien Binnendifferenzierung nicht so häufig eingesetzt wird, wie an anderen Schulformen und dass die Einsatzhäufigkeit bedingende Kontextfaktoren bspw. kollegiale Zusammenarbeit bei der Unterrichtsplanung und -durchführung, die wahrgenommene Qualität der Lehramtsausbildung hinsichtlich des Umgangs mit Heterogenität und die Bereitschaft zur Implementation von Binnendifferenzierung sind und auch Einstellungen zu Binnendifferenzierung und (Lehrer/-innen)Selbstwirksamkeitserwartungen in Zusammenhang mit dem Maßnahmeneinsatz stehen. Die durchgeführte Post-hoc Analyse zeigte bzgl. Einsatzhäufigkeit weiterhin Zusammenhänge zwischen der Persönlichkeit der Lehrkräfte und der Schulform, an der diese unterrichten. Die Ergebnisse entstammen der Schulpraxis und liefern deshalb praktische Implikationen, wie bspw. Hinweise zur Steigerung der Qualität der Lehramtsausbildung, die neben zukünftigen Forschungsansätzen im Rahmen dieser Arbeit expliziert werden.
In her poems, Tawada constructs liminal speaking subjects – voices from the in-between – which disrupt entrenched binary thought processes. Synthesising relevant concepts from theories of such diverse fields as lyricology, performance studies, border studies, cultural and postcolonial studies, I develop ‘voice’ and ‘in-between space’ as the frameworks to approach Tawada’s multifaceted poetic output, from which I have chosen 29 poems and two verse novels for analysis. Based on the body speaking/writing, sensuality is central to Tawada’s use of voice, whereas the in-between space of cultures and languages serves as the basis for the liminal ‘exophonic’ voices in her work. In the context of cultural alterity, Tawada focuses on the function of language, both its effect on the body and its role in subject construction, while her feminist poetry follows the general development of feminist academia from emancipation to embodiment to queer representation. Her response to and transformation of écriture féminine in her verse novels transcends the concept of the body as the basis of identity, moving to literary and linguistic, plural self-construction instead. While few poems are overtly political, the speaker’s personal and contextual involvement in issues of social conflict reveal the poems’ potential to speak of, and to, the multiply identified citizens of a globalised world, who constantly negotiate physical as well as psychological borders.
Gewährleistung 4.0
(2021)
Ist das bestehende Rechtssystem auf technischen Fortschritt vorbereitet?
Gunnar Schilling untersucht diese Frage mit Blick auf die automatisierte Abwicklung von Gewährleistungsrechten. Er nimmt eine Analyse des geltenden Rechtsrahmens vor und schlägt schließlich ein separates Regelungsregime
für automatisierte Kaufverträge vor.
In order to classify smooth foliated manifolds, which are smooth maifolds equipped with a smooth foliation, we introduce the de Rham cohomologies of smooth foliated manifolds. These cohomologies are build in a similar way as the de Rham cohomologies of smooth manifolds. We develop some tools to compute these cohomologies. For example we proof a Mayer Vietoris theorem for foliated de Rham cohomology and show that these cohomologys are invariant under integrable homotopy. A generalization of a known Künneth formula, which relates the cohomologies of a product foliation with its factors, is discussed. In particular, this envolves a splitting theory of sequences between Frechet spaces and a theory of projective spectrums. We also prove, that the foliated de Rham cohomology is isomorphic to the Cech-de Rham cohomology and the Cech cohomology of leafwise constant functions of an underlying so called good cover.
Rückkehrprozesse aus Genderperspektive: remigrierte (Spät-)Aussiedler-Ehepaare in Westsibirien
(2021)
Die Studie untersucht die Rückkehrprozesse von (Spät-)Aussiedler-Ehepaaren aus Deutschland nach Westsibirien. Ein besonderes Augenmerk wird auf die Sichtweisen der Frauen und Männer hinsichtlich ihrer gemachten Erfahrung der Remigration gelegt. Darüber hinaus analysiert die Studie einerseits die Gemeinsamkeiten und Unterschiede beider Geschlechter im Hinblick auf die Rückkehrmotive, die Zufriedenheit mit der Wiederanpassung in Russland sowie die Einstellung hinsichtlich einer erneuten Migration nach Deutschland. Andererseits fokussiert die Arbeit auf die Geschlechterverhältnisse unter den Ehegatten im Prozess der Entscheidungsfindung zur Remigration. Die Studie folgt einem qualitativen methodischen Ansatz und verbindet verschiedene Forschungsrichtungen, genauer (Re)Migrations-, Familien-, (Spät-)AussiedlerInnen- und Geschlechterforschung.
Soils in forest ecosystems bear a high potential as carbon (C) sinks in the mitigation of climate change. The amount and characteristics of soil organic matter (SOM) are driven by inputs, transformation, degradation and stabilization of organic substances. While tree species fuel the C cycle by producing aboveground and belowground litter, soil microorganisms are crucial for litter degradation as well as the formation and stabilization of SOM. Nonetheless, our knowledge about the tree species effect on the SOM status is limited, inconsistent and blurred. The investigation of tree species effects on SOM is challenging because in long-established forest ecosystems the spatial distribution of tree species is a result of the interplay of environmental factors including climate, geomorphology and soil chemistry. Moreover, tree distribution can further vary with forest successional stage and silvicultural management. Since these factors also directly affect the soil C-status, it is difficult to identify a pure “tree species effect” on the SOM status at regular forested sites. It therefore remains unclear in how far tree species-specific litter with different quality influences the microbial driven turnover and formation of SOM.
Tree species effects on SOM and related soil microbial properties were investigated by examining soil profiles (comprising organic forest floor horizons and mineral soil layers) in different forest stands at the recultivated spoil heap ‘Sophienhöhe’ located at the lignite open-cast mine Hambach near Jülich, Germany. The afforested sites comprised monocultural stands of Douglas fir (Pseudotsuga menziesii), black pine (Pinus nigra), European beech (Fagus sylvatica) and red oak (Quercus rubra) as well as a mixed deciduous stand site planted mainly with hornbeam (Carpinus betulus), lime (Tilia cordata) and common oak (Quercus robur) that were grown for 35 years under identical soil and geomorphological conditions. Because the parent material used for site recultivation was free from organic matter or coal material, the SOM accumulation is entirely the result of in situ soil development due to the impact of tree species.
The first study revealed that tree species had a significant effect on soil organic carbon (SOC) stocks, stoichiometric patterns of C, nitrogen (N), sulfur (S), hydrogen (H) and oxygen (O) as well as the microbial biomass carbon (MBC) content in the forest floor and the top mineral soil layers (0-5 cm, 5-10 cm, 10-30 cm). In general, forest floor SOC stocks were significantly higher at coniferous forest stands compared to deciduous tree species, whereas in mineral soil layers the differences were smaller. Thus, the impact of tree species decreased with increasing soil depth. By investigating the linkage of the natural abundance of 13C and 15N in the soil depth gradients with C:N and O:C stoichiometry, the second study showed that differences in SOC stocks and SOM quality resulted from a tree species-dependent turnover of SOM. Significantly higher turnover of organic matter in soils under deciduous tree species depended to 46 % on the quality of litterfall and root inputs (N content, C:N, O:C ratio), and on the initial isotopic signatures of litterfall. Hence, SOM composition and turnover also depends on additional – presumably microbially driven – factors. The subsequent results of the third study revealed that differences in SOM composition and related soil microbial properties were linked to different microbial communities. Phospholipid fatty acid (PLFA) patterns in the soil profiles indicated that the supply and availability of C and nutrient-rich substrates drive the distribution of fungi, Gram-positive (G+) bacteria and Gram-negative (G−) bacteria between tree species and along the soil depth gradients. The fourth study investigated the molecular composition of extractable soil microbial biomass-derived (SMB) and SOM-derived compounds by electrospray ionization Fourier transformation ion cyclotron resonance mass spectrometry (ESI-FT-ICR-MS). This was complemented by the analysis of nine monosaccharides representing microbial or plant origin. Microbially derived compounds substantially contributed to SOM and the contribution increased with soil depth. The supply of tree species-specific substrates resulted in different chemical composition of SMB with largest differences between deciduous and coniferous stands. At the same time, microorganisms contributed to SOM resulting in a strong similarity in the composition of SOM and SMB.
Overall, the complex interplay of tree species-specific litter inputs and the ability, activity and efficiency of the associated soil fauna and microbial community in metabolizing the organic substrates leads to significant differences in the amount, distribution, quality and consequently, the stability of SOM. These findings are useful for a targeted cultivation of tree species to optimize soil C sequestration and other forest ecosystems services.
Estimation and therefore prediction -- both in traditional statistics and machine learning -- encounters often problems when done on survey data, i.e. on data gathered from a random subset of a finite population. Additional to the stochastic generation of the data in the finite population (based on a superpopulation model), the subsetting represents a second randomization process, and adds further noise to the estimation. The character and impact of the additional noise on the estimation procedure depends on the specific probability law for subsetting, i.e. the survey design. Especially when the design is complex or the population data is not generated by a Gaussian distribution, established methods must be re-thought. Both phenomena can be found in business surveys, and their combined occurrence poses challenges to the estimation.
This work introduces selected topics linked to relevant use cases of business surveys and discusses the role of survey design therein: First, consider micro-econometrics using business surveys. Regression analysis under the peculiarities of non-normal data and complex survey design is discussed. The focus lies on mixed models, which are able to capture unobserved heterogeneity e.g. between economic sectors, when the dependent variable is not conditionally normally distributed. An algorithm for survey-weighted model estimation in this setting is provided and applied to business data.
Second, in official statistics, the classical sampling randomization and estimators for finite population totals are relevant. The variance estimation of estimators for (finite) population totals plays a major role in this framework in order to decide on the reliability of survey data. When the survey design is complex, and the number of variables is large for which an estimated total is required, generalized variance functions are popular for variance estimation. They allow to circumvent cumbersome theoretical design-based variance formulae or computer-intensive resampling. A synthesis of the superpopulation-based motivation and the survey framework is elaborated. To the author's knowledge, such a synthesis is studied for the first time both theoretically and empirically.
Third, the self-organizing map -- an unsupervised machine learning algorithm for data visualization, clustering and even probability estimation -- is introduced. A link to Markov random fields is outlined, which to the author's knowledge has not yet been established, and a density estimator is derived. The latter is evaluated in terms of a Monte-Carlo simulation and then applied to real world business data.