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Une e-Université est une université qui utilise les nouvelles technologies de l'information et de la communication (NTIC) pour remplir ses missions traditionnelles : la production, la préservation et la transmission du savoir. Ses activités consistent donc à collecter et analyser les données de recherche, à diffuser les écrits scientifiques et à fournir des ressources pédagogiques numériques. Or ces biens immatériels font souvent l'objet de droits de propriété littéraire et artistique, notamment le droit d'auteur et le droit sui generis des producteurs de bases de données. Ceci oblige les e-Universités soit à obtenir des autorisations nécessaires des titulaires des monopoles, soit à avoir recours aux exceptions légales. La recherche et l'enseignement font l'objet d'exceptions légales (cf. art. L. 122-5, 3°, e) du Code de la propriété intellectuelle (CPI) et dans les art. 52a et 53 de la Urheberrechtsgesetz (UrhG)). Toutefois, celles-ci s'avèrent manifestement insuffisantes pour accommoder les activités des e-Universités. Ainsi, les législateurs nationaux ont très récemment introduit de nouvelles exceptions visant plus spécifiquement l'utilisation des NTIC dans la recherche et l'enseignement (art. L. 122-5, 10° et art. L. 342-3, 5° du CPI et les futurs art. 60a-60h de la UrhG). Une réforme en ce sens a également été proposée par la Commission Européenne (art. 3 et 4 de la proposition de la Directive sur le droit d'auteur dans le marche unique numérique). Dans ce contexte, il est souhaitable de mener le débat sur l'introduction d'une norme ouverte (de type fair use) en droit européen. Malgré cette incertitude juridique qui entoure la matière, les e-Universités n'ont pas cessé de remplir leurs missions. En effet, la communauté académique a depuis un certain temps entrepris des efforts d'autorégulation (private ordering). Le concept d'Open Science, inspiré des valeurs traditionnelles de l'éthique scientifique, a donc émergé pour promouvoir le libre partage des données de recherche (Open Research Data), des écrits scientifiques (Open Access) et des ressources pédagogiques (Open Educational Resources). Le savoir est donc perçu comme un commun (commons), dont la préservation et le développement durable sont garantis par des standards acceptés par la communauté académique. Ces standards se traduisent en langage juridique grâce aux licences publiques, telles que les Creative Commons. Ces dernières années les universités, mais aussi les organismes finançant la recherche et même les législateurs nationaux se sont activement engagés dans la promotion des communs du savoir. Ceci s'exprime à travers des "mandats" Open Access et l'instauration d'un nouveau droit de publication secondaire, d'abord en droit allemand (art. 38(4) de la UrhG) et récemment aussi en droit français (art. L. 533-4, I du Code de la recherche).
A tale of many stories: explaining policy diffusion between European higher education systems
(2013)
The thesis ”A Tale of Many Stories - Explaining Policy Diffusion between European Higher Education Systems" systematically examines diffusion processes and their effects with regard to a rather neglected policy area – the case of European higher education policy. The thesis contributes to the slowly growing number of comparative and mechanism-based studies on policy diffusion and represents the first study on the diffusion of policies between European Higher Education Systems. The main aim is to contrast and compare testable and coherent explanatory models on the functioning of different diffusion mechanisms. Three sets of explanatory models on the relationship between variables triggering and conditioning diffusion mechanisms and their impact on policy adoption are drawn from mechanism-based thinking on policy diffusion: on learning, socialization, and externalities. These approaches conceptualize the policy process in terms of interdependencies between international and national actors. Explanatory models based on assumptions about domestic policies and the common responses of countries to similar policy problems extend this theoretical framework. The thesis is based on event history modelling of policy change and adoption in higher education systems of 16 West European countries between the yeas 1980 and 1998. Overall 14 policy items describing performance-orientated reforms for public universities ranging from the adoption of external quality assurance systems to tuition fees are examined. Empirically, the main research question is what international, national and policy-specific factors cause and condition diffusion processes and the adoption of public policies? Evidence can be found for and against all of the four theoretical approaches tested. In comparison, many of the assumptions related to interdependencies lack robustness, whereas the common response model is the most stable one. This does not mean that explanatory models based on interdependent decision-making are not suitable for analysing policy diffusion in higher education. Rather interdependency is a multi- dimensional concept that requires a comparative assessment of diffusion mechanisms. Some of explanatory factors based on interdependent decision- making are still supported by the empirical analysis though. From this point of view, the recommendation for analysing diffusion is to start with a model based on domestic politics, that is successively extended by explanatory factors dealing with interdependencies between international and national actors. Diffusion variables matter – but it is only one side of the tale on policy diffusion.
A central question in psycholinguistics is how the human brain processes language in real time. To answer this question, the differences between auditory and visual processing have to be considered. The present dissertation examines the extent to which event-related potentials (ERPs) in the human electroencephalogram (EEG) interact with different modes of presentation during sentence comprehension. Besides the two classical modalities, auditory and rapid serial visual presentation (RSVP), the monitoring of readers’ eye movements was chosen as a new mode of presentation. Here, the temporal paradox between neuronal ERP effects and behavioral effects in the eye movement record were of particular interest. Specifically, by concurrently measuring ERPs and eye movements in natural reading, the dissertation aimed to shed light on the counterintuitive fact that difficulties in sentence comprehension arise earlier in eye movement measures than in the corresponding neuronal ERP effects. In contrast to RSVP and the auditory modality, reading offers a parafoveal preview of upcoming words (Rayner 1998), which enables the brain to process information of words before these are fixated for the first time (in foveal vision). When the word Gegenteil in example (1) below is fixated and processed, the brain concurrently processes some information of the upcoming parafoveal words von and weiß. (1) Schwarz ist das Gegenteil von weiß. (2) Schwarz […] blau. (3) Schwarz […] nett. The parafoveal preview mostly provides orthographic (word form) information, while semantic information is not conveyed (Inhoff & Starr 2004; White 2008). Whereas word form and lexical meaning are processed simultaneously with RSVP and auditory presentation, the parafoveal preview in natural reading allows for a temporal decoupling such that word forms are processed before meaning. This is one reason for the faster information uptake in reading. The present dissertation is the first to systematically investigate the influence of the parafoveal preview in sentence processing. Participants read sentences such as in (1)-(3), in which two adjectives were either antonyms (1), semantically related non-antonyms (2), or semantically unrelated non-antonyms (3). ERPs were computed for the last fixation before the target word (the sentence-final word in 1-3), which was assumed to capture parafoveal processing, and for the first fixation on the target, that should reflect foveal processing. The results were compared to two experiments using identical stimuli with auditory and RSVP presentation, and the parafoveal preview clearly led to different ERP results. While the RSVP and auditory presentations replicated the finding of a P300 to the second antonym in (1) (Kutas & Iragui 1998; Roehm et al. 2007), there was no P300 in response to antonyms at any fixation position in natural reading. However, the dissociation of parafoveal and foveal processing in reading also made it possible to disentangle different processes underlying the N400. There was a reduced parafoveal N400 for (1,2) compared with (3), which could be attributed to the preactivation of the word forms of the expected antonyms and of semantically related non-antonyms. In foveal vision, all non-antonyms (2,3) showed an enhanced N400 compared with (1) because they were unexpected and implausible in the sentence context. This dissociation between the preactivation of a word-form and the contextual fit of a word’s meaning is impossible with the other two modes of presentation, because orthographic and semantic information become available almost at the same time and are thus processed simultaneously. Furthermore, the parafoveal N400 effect was not accompanied by changes in the duration of the corresponding fixation, whereas the foveal N400 was. Similarly, with the concurrent measurement of ERPs and eye movements, the temporal paradox described above remained, as effects in the eye movement record preceded the neuronal ERP effects. Further support for these central findings came from two additional experiments that investigated different stimuli with concurrent ERP-eye tracking measures. Altogether, the experiments revealed that the previous findings on the language-related N400 can be replicated with natural reading, but they can also be differentiated qualitatively by virtue of the characteristics of natural reading. Although the behavioral and neuronal effects mirrored one another, not every neuronal effect necessarily translates into a behavioral output. Finally, even concurrent ERP-eye tracking measures cannot resolve the temporal paradox.
This thesis investigates temporal and aspectual reference in the typologically unrelated African languages Hausa (Chadic, Afro–Asiatic) and Medumba (Grassfields Bantu).
It argues that Hausa is a genuinely tenseless language and compares the interpretation of temporally unmarked sentences in Hausa to that of morphologically tenseless sentences in Medumba, where tense marking is optional and graded.
The empirical behavior of the optional temporal morphemes in Medumba motivates an analysis as existential quantifiers over times and thus provides new evidence suggesting that languages vary in whether their (past) tense is pronominal or quantificational (see also Sharvit 2014).
The thesis proposes for both Hausa and Medumba that the alleged future tense marker is a modal element that obligatorily combines with a prospective future shifter (which is covert in Medumba). Cross-linguistic variation in whether or not a future marker is compatible with non-future interpretation is proposed to be predictable from the aspectual architecture of the given language.
Die vorliegende Arbeit geht der Frage nach, wie bzw. mit welchen sprachlichen Mitteln der Islam im öffentlichen Diskurs konstituiert wird. Hierfür wurde ein Korpus aus überregionalen Medientexten erstellt und qualitativ analysiert. Die Auswertung des gesamten Korpus weist darauf hin, welche inhaltlichen Merkmale im Islamdiskurs sprachlich nachweisbar sind und sich im gesamten Diskurs stets wiederholen. Schlüsselwörter wie Islam, Islamismus, Islamisierung, Muslim, Dschihad, Scharia oder Koran wurden detailliert präsentiert. Außerdem wurden die aus dem untersuchten Korpus entstandenen Stereotype rekonstruiert. Weiterhin wurden Metaphern bzw. Metaphernkonzepte untersucht, die sich im Islamdiskurs abbilden lassen. Exemplarisch anhand der drei Weltereignisse Iranische Revolution 1978/79, 11. September 2001 und Arabischer Frühling 2011 hat die vorliegende Arbeit gezeigt, wie der Islam in unterschiedlichen Zeitabständen wahrgenommen wird und inwieweit gesellschaftspolitische Ereignisse und Auseinandersetzungen die Thematisierung des Islams beeinflussen können.
Sentiment Analysis is the task of extracting and classifying opinionated content in natural language texts. Common subtasks are the distinction between opinionated and factual texts, the classification of polarity in opinionated texts, and the extraction of the participating entities of an opinion(-event), i.e. the source from which an opinion emanates and the target towards which it is directed. With the emerging Web 2.0 which describes the shift towards a highly user-interactive communication medium, the amount of subjective content on the World Wide Web is steadily increasing. Thus, there is a growing need for automatically processing this type of content which is provided by sentiment analysis. Both natural language processing, which is the task of providing computational methods for the analysis and representation of natural language, and machine learning, which is the task of building task-specific classification models on the basis of empirical data, may be instrumental in mastering the challenges of the automatic sentiment analysis of written text. Many problems in sentiment analysis have been proposed to be solved with machine learning methods exclusively using a fairly low-level feature design, such as bag of words, containing little linguistic information. In this thesis, we examine the effectiveness of linguistic features in various subtasks of sentiment analysis. Thus, we heavily draw from the insights gained by natural language processing. The application of linguistic features can be applied on various classification methods, be it in rule-based classification, where the linguistic features are directly encoded as a classifier, in supervised machine learning, where these features complement basic low-level features, or in bootstrapping methods, where these features form a rule-based classifier generating a labeled training set from which a supervised classifier can be trained. In this thesis, we will in particular focus on scenarios where the combination of linguistic features and machine learning methods is effective. We will look at common text classification tasks, both coarse-grained and fine-grained, and extraction tasks.
The study empirically examines the interpretation of focus accents in German. To this end, a methodology is developed, and it is discussed how experimental investigation can proceed at the current state of the focus theory. Methodologically, experiments directly measuring interpretation provide an alternative to the widespread practice of using only empirical preference and production data to investigate the interpretation of stimuli, and it is shown why such an alternative is necessary.
The empirical results show that one must extend and restrict theories assuming an association of free focus and scalar implicature (exhaustivity) or question–answer congruence as follows: On the one hand, situational factors in the interpretation must be taken into account to a greater extent than until now, especially their interaction with ‘physical’ properties of the speech signal (focus marking). On the other hand, a prototypical definition of Focus is called for which connects the major concepts of focus on the phonetic-phonological, semantic and information-structural levels and takes their prototypical coincidence to be the basis of focus interpretation and corresponding intuitions.
Im Zentrum der Dissertation steht der Begriff Informationsmodellierung oder genauer der Begriff der "textuellen Informationsmodellierung", wobei auf einer bereits vorgeschlagenen Unterscheidung einer primären und einer sekundären Ebene der Informationsstrukturierung aufgebaut wird. Der Gegenstand der primären Ebene sind die textuellen Daten selbst sowie ihre Strukturierung, wohingegen die sekundäre Ebene beschreibt, wie die für die primären Ebenen verwendeten Regelwerke mit alternativen Regelwerken in Beziehung gesetzt werden können. Der Einteilung in eine primäre und eine sekundäre Informationsstrukturierung wird in der Dissertation das Konzept der multiplen Informationsstrukturierung nebengeordnet. Dieses Konzept ist so zu verstehen, dass die primäre Ebene bei Bedarf vervielfacht wird - jedoch bezieht sich jede dieser Ebenen auf dieselbe Datengrundlage. Hierbei ergeben sich auch Auswirkungen auf die sekundäre Informationsstrukturierung. Die Informationsmodellierung erfolgt mit Auszeichnungssprachen. Die Standard Generalized Markup Language (SGML) stellt hierfür einen Rahmen dar, jedoch wurde dieser Formalismus seit seiner 1986 erfolgten Standardisierung nicht nur weiterentwickelt, sondern es wurde mit der Extensible Markup Language (XML) im Jahr 1998 eine wesentlich einfachere Untermenge dieser Sprache definiert, die zudem das derzeitige Zentrum weiterer Entwicklungen auf dem Gebiet der Auszeichnungssprachen darstellt. Der entwickelte Ansatz zur Modellierung linguistischer Information basiert auf der Extensible Markup Language (XML), wobei die weitergehenden Möglichkeiten von SGML selbstverständlich ebenfalls dargestellt und diskutiert werden. Mittels XML können Informationen, die sich nicht in bestimmten Hierarchien (mittels mathematischer Bäume) strukturieren lassen, nicht in einer natürlichen Weise repräsentiert werden. Eine Lösung dieses Problems liegt in der Aufteilung der Strukturierung auf verschiedene Ebenen. Diese neue Lösung wird dargestellt, diskutiert und modelliert.