Voir le monde à travers les lunettes du métacontraste: un modèle mathématique inspiré de la psychologie sociale

La théorie de l'autocatégorisation est une théorie de psychologie sociale qui porte sur la relation entre l'individu et le groupe. Elle explique le comportement de groupe par la conception de soi et des autres en tant que membres de catégories sociales, et par l'attribution aux individus des caractéristiques prototypiques de ces catégories. Il s'agit donc d'une théorie de l'individu qui est censée expliquer des phénomènes collectifs. Les situations dans lesquelles un grand nombre d'individus interagissent de manière non triviale génèrent typiquement des comportements collectifs complexes qui sont difficiles à prévoir sur la base des comportements individuels. La simulation informatique de tels systèmes est un moyen fiable d'explorer de manière systématique la dynamique du comportement collectif en fonction des spécifications individuelles. Dans cette thèse, nous présentons un modèle formel d'une partie de la théorie de l'autocatégorisation appelée principe du métacontraste. À partir de la distribution d'un ensemble d'individus sur une ou plusieurs dimensions comparatives, le modèle génère les catégories et les prototypes associés. Nous montrons que le modèle se comporte de manière cohérente par rapport à la théorie et est capable de répliquer des données expérimentales concernant divers phénomènes de groupe, dont par exemple la polarisation. De plus, il permet de décrire systématiquement les prédictions de la théorie dont il dérive, notamment dans des situations nouvelles. Au niveau collectif, plusieurs dynamiques peuvent être observées, dont la convergence vers le consensus, vers une fragmentation ou vers l'émergence d'attitudes extrêmes. Nous étudions également l'effet du réseau social sur la dynamique et montrons qu'à l'exception de la vitesse de convergence, qui augmente lorsque les distances moyennes du réseau diminuent, les types de convergences dépendent peu du réseau choisi. Nous constatons d'autre part que les individus qui se situent à la frontière des groupes (dans le réseau social ou spatialement) ont une influence déterminante sur l'issue de la dynamique. Le modèle peut par ailleurs être utilisé comme un algorithme de classification automatique. Il identifie des prototypes autour desquels sont construits des groupes. Les prototypes sont positionnés de sorte à accentuer les caractéristiques typiques des groupes, et ne sont pas forcément centraux. Enfin, si l'on considère l'ensemble des pixels d'une image comme des individus dans un espace de couleur tridimensionnel, le modèle fournit un filtre qui permet d'atténuer du bruit, d'aider à la détection d'objets et de simuler des biais de perception comme l'induction chromatique. Abstract Self-categorization theory is a social psychology theory dealing with the relation between the individual and the group. It explains group behaviour through self- and others' conception as members of social categories, and through the attribution of the proto-typical categories' characteristics to the individuals. Hence, it is a theory of the individual that intends to explain collective phenomena. Situations involving a large number of non-trivially interacting individuals typically generate complex collective behaviours, which are difficult to anticipate on the basis of individual behaviour. Computer simulation of such systems is a reliable way of systematically exploring the dynamics of the collective behaviour depending on individual specifications. In this thesis, we present a formal model of a part of self-categorization theory named metacontrast principle. Given the distribution of a set of individuals on one or several comparison dimensions, the model generates categories and their associated prototypes. We show that the model behaves coherently with respect to the theory and is able to replicate experimental data concerning various group phenomena, for example polarization. Moreover, it allows to systematically describe the predictions of the theory from which it is derived, specially in unencountered situations. At the collective level, several dynamics can be observed, among which convergence towards consensus, towards frag-mentation or towards the emergence of extreme attitudes. We also study the effect of the social network on the dynamics and show that, except for the convergence speed which raises as the mean distances on the network decrease, the observed convergence types do not depend much on the chosen network. We further note that individuals located at the border of the groups (whether in the social network or spatially) have a decisive influence on the dynamics' issue. In addition, the model can be used as an automatic classification algorithm. It identifies prototypes around which groups are built. Prototypes are positioned such as to accentuate groups' typical characteristics and are not necessarily central. Finally, if we consider the set of pixels of an image as individuals in a three-dimensional color space, the model provides a filter that allows to lessen noise, to help detecting objects and to simulate perception biases such as chromatic induction.

Social movements and environmentalism, a Luhmannian view

Depuis les années cinquante la sociologie a été concernée par le phénomène des mouvements sociaux. Diverses théories ont essayé de les expliquer. Du collective behaviour à la mobilisation des ressources, par l`entremise de processus politiques, et de la perspective de framing jusqu'à la théorie des nouveaux mouvements sociaux, la sociologie a trouvé certains moyens pour expliquer ces phénomènes. Bien que toutes ces perspectives couvrent et saisissent des facettes importantes des angles de l'action collective, ils le font de manière disparate, en regardant un côté et en omettant l'autre. Les différences entre les points de vue proviennent, d'une part, d'un changement dans les contextes sociaux, historiques et scientifiques, et d'autre part du fait que les différentes approches ne posent pas les mêmes questions, même si certaines questions se chevauchent. Poser des questions différentes amène à considérer des aspects différents. En conséquence, ce n'est pas seulement une question de donner une réponse différente à la même question, mais aussi une question de regarder le même objet d'étude, à partir d'un angle différent. Cette situation réside à la base de la première partie de ma thèse principale: le champ de la théorie des mouvements sociaux n'est pas suffisant, ni suffisamment intégré pour expliquer l'action collective et nous avons besoin d'une théorie plus complète afin d'obtenir une meilleure compréhension des mouvements et la façon dont ils remplissent leur rôle de précurseurs de changement dans la société. Par conséquent, je considère que nous avons besoin d'une théorie qui est en mesure d'examiner tous les aspects des mouvements en même temps et, en outre, est capable de regarder au-delà de la forme de l'objet d’étude afin de se concentrer sur l'objet lui-même. Cela m'amène à la deuxième partie de l'argument, qui est l'affirmation selon laquelle la théorie générale des systèmes telle que formulée par Niklas Luhmann peut contribuer à une meilleure compréhension de l'action collective. Il s'agit d'une théorie intégrale qui peut compléter le domaine de la théorie de l`action collective en nous fournissant les outils nécessaires pour rechercher dynamiquement les mouvements sociaux et de les comprendre dans le contexte social en perpétuel changement. Une analyse du mouvement environnementaliste sera utilisé pour montrer comment les outils fournis par cette théorie nous permettent de mieux comprendre non seulement les mouvements sociaux, mais également le contexte dans lequel ils fonctionnent, comment ils remplissent leur rôle, comment ils évoluent et comment ils changent aussi la société.

La dimensión transnacional del movimiento feminista marroquí: génesis, desarrollo e impacto social (1980-2008)

Esta monografía busca explicar cómo han incidido el contexto internacional y las relaciones transnacionales en el movimiento feminista de Marruecos. De este modo, este estudio defiende que las Conferencias Mundiales sobre la Mujer de la ONU crearon una estructura de oportunidad política que favoreció el surgimiento y el desarrollo de este movimiento. Asimismo, dicho contexto construyó un espacio para que las activistas feministas marroquíes crearan y se insertaran en Redes de Defensa Transnacional, las cuales contribuyeron a cambiar la condición de la mujer en Marruecos, a través de reformas a los Códigos de Familia y Nacionalidad y el levantamiento de las reservas a la CEDAW. Para esto se hará un estudio interdisciplinario haciendo uso de la teoría de los movimientos sociales y del activismo transnacional. Igualmente, se utilizará una metodología cualitativa, principalmente a través de las herramientas del análisis de contenido y el trabajo de campo de la autora.

Renewable energy and energy efficiency in Latin America and the Caribbean: constraints and prospects

Includes bibliography

Messung des Landé-gJ-Faktors im Grundzustand von Ca + und Untersuchung des Speicherverhaltens von Elektronen in einem Penningkäfig

Ionenkäfige und speziell Penningfallen stellen sich in der Atomphysik als außergewöhnliche Werkzeuge heraus. Zum einen bieten diese 'Teilchencontainer' die Möglichkeit atomphysikalische Präzisionsmessungen durchzuführen und zum anderen stellen Penningfallen schwingungsfähige Systeme dar, in welchen nichtlineare dynamische Prozesse an gespeicherten Teilchen untersucht werden können. In einem ersten Teil der Arbeit wurde mit der in der Atomphysik bekannten Methode der optischen Mikrowellen-Doppelresonanz Spektroskopie der elektronische g-Faktor von Ca+ mit einer Genauigkeit von 4*10^{-8} zu gJ=2,00225664(9) bestimmt. g-Faktoren von Elektronen in gebundenen ionischen Systemen sind fundamentale Größen der Atomphysik, die Informationen über die atomare Wellenfunktion des zu untersuchenden Zustandes liefern. In einem zweiten Teil der Arbeit wurde hinsichtlich der Untersuchungen zur nichtlinearen Dynamik von parametrisch angeregten gespeicherten Elektronen beobachtet, dass ab bestimmten kritischen Teilchendichten in der Penningfalle die gespeicherten Elektronen kollektive Eigenschaften manifestieren. Weiterhin wurde bei der Anregung der axialen Eigenbewegung ein Schwellenverhalten der gemessenen Subharmonischen zur 2*omega_z-Resonanz beobachtet. Dieser Schwelleneffekt lässt sich mit der Existenz eines Dämpfungsmechanismus erklären, der auf die Elektronenwolke einwirkt, so dass eine Mindestamplitude der Anregung erforderlich ist, um diese Dämpfung zu überwinden. Durch Bestimmung der charakteristischen Kurven der gedämpften Mathieuschen Differentialgleichung konnte das beobachtete Phänomen theoretisch verstanden werden.

Elektrokinetik konzentrierter kolloidaler Suspensionen

In dieser Arbeit wurden wässrige Suspensionen ladungsstabilisierter kolloidaler Partikel bezüglich ihres Verhaltens unter dem Einfluss elektrischer Felder untersucht. Insbesondere wurde die elektrophoretische Mobilität µ über einen weiten Partikelkonzentrationsbereich studiert, um das individuelle Verhalten einzelner Partikel mit dem bisher nur wenig untersuchten kollektiven Verhalten von Partikelensembles (speziell von fluid oder kristallin geordneten Ensembles) zu vergleichen. Dazu wurde ein superheterodynes Dopplervelocimetrisches Lichtstreuexperiment mit integraler und lokaler Datenerfassung konzipiert, das es erlaubt, die Geschwindigkeit der Partikel in elektrischen Feldern zu studieren. Das Experiment wurde zunächst erfolgreich im Bereich nicht-ordnender und fluid geordneter Suspensionen getestet. Danach konnte mit diesem Gerät erstmals das elektrophoretische Verhalten von kristallin geordneten Suspensionen untersucht werden. Es wurde ein komplexes Fließverhalten beobachtet und ausführlich dokumentiert. Dabei wurden bisher in diesem Zusammenhang noch nicht beobachtete Effekte wie Blockfluss, Scherbandbildung, Scherschmelzen oder elastische Resonanzen gefunden. Andererseits machte dieses Verhalten die Entwicklung einer neuen Auswertungsroutine für µ im kristallinen Zustand notwendig, wozu die heterodyne Lichtstreutheorie auf den superheterodynen Fall mit Verscherung erweitert werden musste. Dies wurde zunächst für nicht geordnete Systeme durchgeführt. Diese genäherte Beschreibung genügte, um unter den gegebenen Versuchbedingungen auch das Lichtstreuverhalten gescherter kristalliner Systeme zu interpretieren. Damit konnte als weiteres wichtiges Resultat eine generelle Mobilitäts-Konzentrations-Kurve erhalten werden. Diese zeigt bei geringen Partikelkonzentrationen den bereits bekannten Anstieg und bei mittleren Konzentrationen ein Plateau. Bei hohen Konzentrationen sinkt die Mobilität wieder ab. Zur Interpretation dieses Verhaltens bzgl. Partikelladung stehen derzeit nur Theorien für nicht wechselwirkende Partikel zur Verfügung. Wendet man diese an, so findet man eine überraschend gute Übereinstimmung der elektrophoretisch bestimmten Partikelladung Z*µ mit numerisch bestimmten effektiven Partikelladungen Z*PBC.

Las protestas de impugnación a la política en los municipios de Mendoza : los casos de Luján de Cuyo, Maipú y Godoy Cruz (Diciembre 2001- Marzo 2002)

Durante el ciclo de movilizaciones populares, intensificado a partir de las jornadas del 19 y 20 de diciembre de 2001, en la provincia de Mendoza se generlizan las protestas por la reducción del gasto político dirigidas, principalmente, hacia los Concejos Deliberantes municipales. Este trabajo tiene por objeto la comprensión y explicación de las protestas de impugnación a la política desarrolladas en los municipios de Luján de Cuyo, Godoy Cruz y Maipú entre diciembre de 2001 y marzo de 2002. Análisis inserto en la problemática teórica sobre comportamiento colectivo y movilización social en las Ciencias Sociales.

The many lives of magnetized neutron stars

The magnetic field strength at birth is arguably one of the most important properties to determine the evolutionary path of a neutron star. Objects with very high fields, collectively known as magnetars, are characterized by high X-ray quiescent luminosities, occurrence of outbursts, and, for some of them, sporadic giant flares. While the magnetic field strength is believed to drive their collective behaviour, however, the diversity of their properties, and, especially, the observation of magnetar-like bursts from “low-field” pulsars, has been a theoretical puzzle. In this review, we discuss results of long-term simulations following the coupled evolution of the X-ray luminosity and the timing properties for a large, homogeneous sample of X-ray emitting isolated neutron stars, accounting for a range of initial magnetic field strengths, envelope compositions, and neutron star masses. In addition, by following the evolution of magnetic stresses within the neutron star crust, we can also relate the observed magnetar phenomenology to the physical properties of neutron stars, and in particular to their age and magnetic field strength and topology. The dichotomy of “high-B” field pulsars versus magnetars is naturally explained, and occasional outbursts from old, low B-field neutron stars are predicted. We conclude by speculating on the fate of old magnetars, and by presenting observational diagnostics of the neutron star crustal field topology.

The multiple pheromone ant clustering algorithm and its application to real world domains

The Multiple Pheromone Ant Clustering Algorithm (MPACA) models the collective behaviour of ants to find clusters in data and to assign objects to the most appropriate class. It is an ant colony optimisation approach that uses pheromones to mark paths linking objects that are similar and potentially members of the same cluster or class. Its novelty is in the way it uses separate pheromones for each descriptive attribute of the object rather than a single pheromone representing the whole object. Ants that encounter other ants frequently enough can combine the attribute values they are detecting, which enables the MPACA to learn influential variable interactions. This paper applies the model to real-world data from two domains. One is logistics, focusing on resource allocation rather than the more traditional vehicle-routing problem. The other is mental-health risk assessment. The task for the MPACA in each domain was to predict class membership where the classes for the logistics domain were the levels of demand on haulage company resources and the mental-health classes were levels of suicide risk. Results on these noisy real-world data were promising, demonstrating the ability of the MPACA to find patterns in the data with accuracy comparable to more traditional linear regression models. © 2013 Polish Information Processing Society.

Privacy and the City:user identification and location semantics in location-based social networks

With the advent of GPS enabled smartphones, an increasing number of users is actively sharing their location through a variety of applications and services. Along with the continuing growth of Location-Based Social Networks (LBSNs), security experts have increasingly warned the public of the dangers of exposing sensitive information such as personal location data. Most importantly, in addition to the geographical coordinates of the user’s location, LBSNs allow easy access to an additional set of characteristics of that location, such as the venue type or popularity. In this paper, we investigate the role of location semantics in the identification of LBSN users. We simulate a scenario in which the attacker’s goal is to reveal the identity of a set of LBSN users by observing their check-in activity. We then propose to answer the following question: what are the types of venues that a malicious user has to monitor to maximize the probability of success? Conversely, when should a user decide whether to make his/her check-in to a location public or not? We perform our study on more than 1 million check-ins distributed over 17 urban regions of the United States. Our analysis shows that different types of venues display different discriminative power in terms of user identity, with most of the venues in the “Residence” category providing the highest re-identification success across the urban regions. Interestingly, we also find that users with a high entropy of their check-ins distribution are not necessarily the hardest to identify, suggesting that it is the collective behaviour of the users’ population that determines the complexity of the identification task, rather than the individual behaviour.

Study of charge, spin, and structural orderings in quantum materials using nuclei and muons as local probes

Quantum Materials are many body systems displaying emergent phenomena caused by quantum collective behaviour, such as superconductivity, charge density wave, fractional hall effect, and exotic magnetism. Among quantum materials, two families have recently attracted attention: kagome metals and Kitaev materials. Kagome metals have a unique crystal structure made up of triangular lattice layers that are used to form the kagome layer. Due to superconductivity, magnetism, and charge ordering states such as the Charge Density Wave (CDW), unexpected physical phenomena such as the massive Anomalous Hall Effect (AHE) and possible Majorana fermions develop in these materials. Kitaev materials are a type of quantum material with a unique spin model named after Alexei Kitaev. They include fractional fluctuations of Majorana fermions and non-topological abelian anyons, both of which might be used in quantum computing. Furthermore, they provide a realistic framework for the development of quantum spin liquid (QSL), in which quantum fluctuations produce long-range entanglements between electronic states despite the lack of classical magnetic ordering. In my research, I performed several nuclear magnetic resonance (NMR), nuclear quadrupole resonance (NQR), and muon spin spectroscopy (µSR) experiments to explain and unravel novel phases of matter within these unusual families of materials. NMR has been found to be an excellent tool for studying these materials’ local electronic structures and magnetic properties. I could use NMR to determine, for the first time, the structure of a novel kagome superconductor, RbV3Sb5, below the CDW transition, and to highlight the role of chemical doping in the CDW phase of AV3Sb5 superconductors. µSR has been used to investigate the effect of doping on kagome material samples in order to study the presence and behaviour of an anomalous phase developing at low temperatures and possibly related to time-reversal symmetry breaking.

Speed-cohesion trade-offs in collective decision making in ants and the concept of precision in animal behaviour

In decision making, speed-accuracy trade-offs are well known and often inevitable because accuracy depends on being well informed and gathering information takes time. However, trade-offs between speed and cohesion, that is the degree to which a group remains together as a single entity, as a result of their decision making, have been comparatively neglected. We combine theory and experimentation to show that in decision-making systems, speed-cohesion trade-offs are a natural complement to speed-accuracy trade-offs and are therefore of general importance. We then analyse the decision performance of 32 rock ant, Temnothorax albipennis, colonies in experiments in which accuracy of collective decision making was held constant, but time urgency varied. These experiments reveal for the first time an adaptive speed-cohesion trade-off in collective decision making and how this is achieved. In accord with different time constraints, colonies can decide quickly, at the cost of social unity, or they can decide slowly with much greater cohesion. We discuss the similarity between cohesion and the term precision as used in statistics and engineering. This emphasizes the generality of speed versus cohesion/precision trade-offs in decision making and decision implementation in other fields within animal behaviour such as sexually selected motor displays and even certain aspects of birdsong. We also suggest that speed versus precision trade-offs may occur when individuals within a group need to synchronize their activity, and in collective navigation, cooperative hunting and in certain escape behaviours.

Ownership and Investment Behaviour in Transition Countries: A Case Study of Collective and Corporate Farms in the Czech Republic. Factor Markets Working Paper No. 17, February 2012

Cooperative and corporate farms have retained an important role for agricultural production in many transition countries of Central and Eastern Europe. Despite this importance, these farms' ownership structure, and particularly the ownership's effect on their investment activity, which is vital for efficient restructuring and the sector's future development, are still not well understood. This paper explores the ownership-investment relationship using data on Czech farms from 1997 to 2008. We allow for ownership-specific variability in farm investment behaviour analyzed by utilizing an error-correction accelerator model. Empirical results suggest significant differences in the level of investment activity, responsiveness to market signals, investment lumpiness, as well as investment sensitivity to financial variables among farms with different ownership characteristics. These differences imply that the internal structure of the Czech cooperative and corporate farms will be developing in the direction of a decreasing number of owners and an increasing ownership concentration.

Students' collective knowledge construction in the virtual learning environment ""ToLigado - your school interactive newspaper""

Introduction. The ToLigado Project - Your School Interactive Newspaper is an interactive virtual learning environment conceived, developed, implemented and supported by researchers at the School of the Future Research Laboratory of the University of Sao Paulo, Brazil. Method. This virtual learning environment aims to motivate trans-disciplinary research among public school students and teachers in 2,931 schools equipped with Internet-access computer rooms. Within this virtual community, students produce collective multimedia research documents that are immediately published in the portal. The project also aims to increase students' autonomy for research, collaborative work and Web authorship. Main sections of the portal are presented and described. Results. Partial results of the first two years' implementation are presented and indicate a strong motivation among students to produce knowledge despite the fragile hardware and software infrastructure at the time. Discussion. In this new environment, students should be seen as 'knowledge architects' and teachers as facilitators, or 'curiosity managers'. The ToLigado portal may constitute a repository for future studies regarding student attitudes in virtual learning environments, students' behaviour as 'authors', Web authorship involving collective knowledge production, teachers' behaviour as facilitators, and virtual learning environments as digital repositories of students' knowledge construction and social capital in virtual learning communities.