938 resultados para Social Identification


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Acquired brain injury (ABI) is the leading cause of death and disability amongst children and adolescents andpresents itself with challenges associated in cognitive, social, emotional, and behavioural domains. These changes may interfere with academic performance and social inclusion, influencing self-esteem and personal success. The current study examined a subset of data to capture the sense of academic and social belonging for students with ABI as a function of the classroom teachers’ subjective perception of ability, their ABI knowledge, and student identification. Overall, a discrepancy was found between educators’ subjective ratings of student performance and students’ neurocognitive capacity. Educator knowledge and identification of ABI influenced student success in academic and social domains independent of teaching approach. This research has implications for the identification of ABI in the classroom and related challenges students experience. Educators are underprepared for the reintegration of students returning to school and lack appropriate knowledge and strategies to accommodate individual needs.

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The purpose of this project was to raise awareness surrounding child and adolescent mental health in an effort to reduce preconceived stigmas in relation to this specialized field. This project presented a literature review of the current state of child and adolescent mental health in Canada today, including the prevalence and several treatment options for young people confronting mental health challenges. Consideration of the powerful role of the education system upon youth with mental health issues became evident, specifically regarding early identification and prevention. A needs assessment was conducted to gather feedback from the clinical practitioners of a Section 23 classroom within a Southern Ontario hospital. This assessment was used to develop an informational and pedagogical workshop resource to extend practitioner understanding of this pertinent issue and support the social and emotional needs of young people confronting mental heath challenges. Results of the assessment indicated the significant need for such a workshop resource, and these responses were used to guide the development of Group Chat: A Workshop to Support the Emotional and Social Needs of Youth. The latter was subsequently presented to participants, whereby evaluative questionnaires indicated the efficacy and usefulness of this workshop resource to both practitioners and students alike.

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Young carers (YCs) who provide prolonged care for ill, disabled, or addicted family member(s) face a tremendous risk for negative developmental trajectories when remaining hidden (Charles, Stainton, & Marshall, 2009; Charles, 2011; Cass, 2007). Despite a growing recognition of YCs, understanding how providing care impacts a young person is not fully understood. The present study aimed to investigate circumstantial, family, and individual factors which may be associated with YCs’ caregiving role. By comparing YCs to a normative sample, a comprehensive YC profile was formed. A secondary comparative analysis was conducted on 124 YCs (72 females and 52 males, Mage = 12) and a normative sample (n = 124) matched on YCs’ age, gender, and number of siblings within the family. Unique attributes of the YC population were discussed, thereby creating a YC profile. Future research may be able to use this profile to promote identification and recognition of YCs.

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Social exclusion manifests itself in the lack of an individual’s access to functionings as compared to other members of society. Thus, the concept is closely related to deprivation. We view deprivation as having two basic determinants: the lack of identification with other members of society and the aggregate alienation experienced by an agent with respect to those with fewer functioning failures. We use an axiomatic approach to characterize classes of deprivation and exclusion measures and apply some of them to EU data for the period from 1994 to 2000.

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Affiliation: Jacqueline Rousseau : École de réadaptation, Faculté de médecine, Université de Montréal

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Les récents progrès en neuroimagerie ont permis, au cours des dernières années, de faire avancer les connaissances sur les maladies neurologiques et psychiatriques en offrant la possibilité de mieux comprendre l’évolution des maladies neurodégénératives et la nature du comportement, des émotions, de la personnalité, et de la cognition. Plusieurs défis éthiques ont émergés suite à l’utilisation de ces nouvelles technologies d’imagerie cérébrale. La perspective des chercheurs concernant les pratiques d’évaluation des protocoles de recherche en neuroimagerie ainsi que les défis éthiques, sociaux et légaux auxquels font face les chercheurs n'ont pas encore été étudiés, même s’ils constituent des acteurs clés. Nous avons entrepris une étude empirique sur les perspectives des chercheurs quant au processus d'évaluation par les comités d’éthique de la recherche (CÉR) afin d’examiner les enjeux éthiques, légaux et sociaux liés à la pratique de la neuroimagerie au Canada. Pour ce faire, nous avons expédié un questionnaire en ligne et réalisé des entrevues semi-structurées avec des chercheurs en neuroimagerie et des présidents des CÉR. Les entrevues ont été transcrites et analysées à l'aide du logiciel d'analyse qualitative Nvivo. Nos résultats ont mis en lumière plusieurs aspects éthiques légaux et sociaux suscitant une attention particulière afin de remédier aux défis actuels dans la recherche en neuroimagerie ainsi qu’au processus d’évaluation de la recherche par les CÉR. Nos données comportent également des recommandations provenant des chercheurs eux-mêmes afin d'améliorer le processus d'évaluation. Finalement, notre propre expérience avec cette étude multicentrique nous a permis de constater plusieurs des défis mentionnés par les chercheurs.

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Funding support for this doctoral thesis has been provided by the Canadian Institutes of Health Research-Public Health Agency of Canada, QICSS matching grant, and la Faculté des études supérieures et postdoctorales-Université de Montréal.

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Social interactions arguably provide a rationale for several important phenomena, from smoking and other risky behavior in teens to e.g., peer effects in school performance. We study social interactions in dynamic economies. For these economies, we provide existence (Markov Perfect Equilibrium in pure strategies), ergodicity, and welfare results. Also, we characterize equilibria in terms of agents' policy function, spatial equilibrium correlations and social multiplier effects, depending on the nature of interactions. Most importantly, we study formally the issue of the identification of social interactions, with special emphasis on the restrictions imposed by dynamic equilibrium conditions.

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Partout, des millions d'immigrants doivent apprendre à interagir avec une nouvelle culture (acculturation) et à s’y identifier (identification). Toutefois, il existe un débat important sur la relation entre l’acculturation et l’identification. Certains chercheurs les considèrent comme étant des concepts identiques; d’autres argumentent qu'un lien directionnel unit ces concepts (c.-à-d. l'identification mène à l'acculturation, ou l'acculturation mène à l'identification). Toutefois, aucune étude n'a pas investigué la nature et la direction de leur relation. Afin de clarifier ces questions, trois modèles théoriques testeront la relation entre l’acculturation et l’identification et deux variables centrales à l’immigration, soit être forcé à immigrer et l’incohérence des valeurs. Dans le premier modèle, les variables d'immigration prédirent simultanément l'acculturation et l'identification. Le second modèle avance que les variables d'immigration mènent à l'identification, qui mène à l'acculturation. Le troisième modèle précis plutôt que les variables d'immigration prédisent l'acculturation, qui prédit l'identification. Le premier modèle propose que l'acculturation et l'identification sont le même concept, tandis que les second et troisième stipulent qu'ils sont différents (ainsi que la direction de leur relation). Ces modèles seront comparés afin d’examiner l'existence et la direction du lien qui unit l'acculturation et l'identification. Lors de la première étude, 146 immigrants latino-américains ont répondu à un questionnaire. Les analyses des pistes causales appuient le troisième modèle stipulant que l'acculturation mène à l'identification et, donc, qu'ils sont des concepts distincts. Les résultats ont été confirmés à l’aide d’une deuxième étude où 15 immigrants latino-américains ont passé une entrevue semi-structurée. Les implications théoriques et pratiques seront discutées.

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La migration internationale d’étudiants est un investissement couteux pour les familles dans beaucoup de pays en voie de développement. Cependant, cet investissement est susceptible de générer des bénéfices financiers et sociaux relativement importants aux investisseurs, tout autant que des externalités pour d’autres membres de la famille. Cette thèse s’intéresse à deux aspects importants de la migration des étudiants internationaux : (i) Qui part? Quels sont les déterminants de la probabilité de migration? (ii) Qui paie? Comment la famille s’organise-t-elle pour couvrir les frais de la migration? (iii) Qui y gagne? Ce flux migratoire est-il au bénéfice du pays d’origine? Entreprendre une telle étude met le chercheur en face de défis importants, notamment, l’absence de données complètes et fiables; la dispersion géographique des étudiants migrants en étant la cause première. La première contribution importante de ce travail est le développement d’une méthode de sondage en « boule de neige » pour des populations difficiles à atteindre, ainsi que d’estimateurs corrigeant les possibles biais de sélection. A partir de cette méthodologie, j’ai collecté des données incluant simultanément des étudiants migrants et non-migrants du Cameroun en utilisant une plateforme internet. Un second défi relativement bien documenté est la présence d’endogénéité du choix d’éducation. Nous tirons avantage des récents développements théoriques dans le traitement des problèmes d’identification dans les modèles de choix discrets pour résoudre cette difficulté, tout en conservant la simplicité des hypothèses nécessaires. Ce travail constitue l’une des premières applications de cette méthodologie à des questions de développement. Le premier chapitre de la thèse étudie la décision prise par la famille d’investir dans la migration étudiante. Il propose un modèle structurel empirique de choix discret qui reflète à la fois le rendement brut de la migration et la contrainte budgétaire liée au problème de choix des agents. Nos résultats démontrent que le choix du niveau final d’éducation, les résultats académiques et l’aide de la famille sont des déterminants importants de la probabilité d’émigrer, au contraire du genre qui ne semble pas affecter très significativement la décision familiale. Le second chapitre s’efforce de comprendre comment les agents décident de leur participation à la décision de migration et comment la famille partage les profits et décourage le phénomène de « passagers clandestins ». D’autres résultats dans la littérature sur l’identification partielle nous permettent de considérer des comportements stratégiques au sein de l’unité familiale. Les premières estimations suggèrent que le modèle « unitaire », où un agent représentatif maximise l’utilité familiale ne convient qu’aux familles composées des parents et de l’enfant. Les aidants extérieurs subissent un cout strictement positif pour leur participation, ce qui décourage leur implication. Les obligations familiales et sociales semblent expliquer les cas de participation d’un aidant, mieux qu’un possible altruisme de ces derniers. Finalement, le troisième chapitre présente le cadre théorique plus général dans lequel s’imbriquent les modèles développés dans les précédents chapitres. Les méthodes d’identification et d’inférence présentées sont spécialisées aux jeux finis avec information complète. Avec mes co-auteurs, nous proposons notamment une procédure combinatoire pour une implémentation efficace du bootstrap aux fins d’inférences dans les modèles cités ci-dessus. Nous en faisons une application sur les déterminants du choix familial de soins à long terme pour des parents âgés.

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Identification and Control of Non‐linear dynamical systems are challenging problems to the control engineers.The topic is equally relevant in communication,weather prediction ,bio medical systems and even in social systems,where nonlinearity is an integral part of the system behavior.Most of the real world systems are nonlinear in nature and wide applications are there for nonlinear system identification/modeling.The basic approach in analyzing the nonlinear systems is to build a model from known behavior manifest in the form of system output.The problem of modeling boils down to computing a suitably parameterized model,representing the process.The parameters of the model are adjusted to optimize a performanace function,based on error between the given process output and identified process/model output.While the linear system identification is well established with many classical approaches,most of those methods cannot be directly applied for nonlinear system identification.The problem becomes more complex if the system is completely unknown but only the output time series is available.Blind recognition problem is the direct consequence of such a situation.The thesis concentrates on such problems.Capability of Artificial Neural Networks to approximate many nonlinear input-output maps makes it predominantly suitable for building a function for the identification of nonlinear systems,where only the time series is available.The literature is rich with a variety of algorithms to train the Neural Network model.A comprehensive study of the computation of the model parameters,using the different algorithms and the comparison among them to choose the best technique is still a demanding requirement from practical system designers,which is not available in a concise form in the literature.The thesis is thus an attempt to develop and evaluate some of the well known algorithms and propose some new techniques,in the context of Blind recognition of nonlinear systems.It also attempts to establish the relative merits and demerits of the different approaches.comprehensiveness is achieved in utilizing the benefits of well known evaluation techniques from statistics. The study concludes by providing the results of implementation of the currently available and modified versions and newly introduced techniques for nonlinear blind system modeling followed by a comparison of their performance.It is expected that,such comprehensive study and the comparison process can be of great relevance in many fields including chemical,electrical,biological,financial and weather data analysis.Further the results reported would be of immense help for practical system designers and analysts in selecting the most appropriate method based on the goodness of the model for the particular context.

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The ongoing growth of the World Wide Web, catalyzed by the increasing possibility of ubiquitous access via a variety of devices, continues to strengthen its role as our prevalent information and commmunication medium. However, although tools like search engines facilitate retrieval, the task of finally making sense of Web content is still often left to human interpretation. The vision of supporting both humans and machines in such knowledge-based activities led to the development of different systems which allow to structure Web resources by metadata annotations. Interestingly, two major approaches which gained a considerable amount of attention are addressing the problem from nearly opposite directions: On the one hand, the idea of the Semantic Web suggests to formalize the knowledge within a particular domain by means of the "top-down" approach of defining ontologies. On the other hand, Social Annotation Systems as part of the so-called Web 2.0 movement implement a "bottom-up" style of categorization using arbitrary keywords. Experience as well as research in the characteristics of both systems has shown that their strengths and weaknesses seem to be inverse: While Social Annotation suffers from problems like, e. g., ambiguity or lack or precision, ontologies were especially designed to eliminate those. On the contrary, the latter suffer from a knowledge acquisition bottleneck, which is successfully overcome by the large user populations of Social Annotation Systems. Instead of being regarded as competing paradigms, the obvious potential synergies from a combination of both motivated approaches to "bridge the gap" between them. These were fostered by the evidence of emergent semantics, i. e., the self-organized evolution of implicit conceptual structures, within Social Annotation data. While several techniques to exploit the emergent patterns were proposed, a systematic analysis - especially regarding paradigms from the field of ontology learning - is still largely missing. This also includes a deeper understanding of the circumstances which affect the evolution processes. This work aims to address this gap by providing an in-depth study of methods and influencing factors to capture emergent semantics from Social Annotation Systems. We focus hereby on the acquisition of lexical semantics from the underlying networks of keywords, users and resources. Structured along different ontology learning tasks, we use a methodology of semantic grounding to characterize and evaluate the semantic relations captured by different methods. In all cases, our studies are based on datasets from several Social Annotation Systems. Specifically, we first analyze semantic relatedness among keywords, and identify measures which detect different notions of relatedness. These constitute the input of concept learning algorithms, which focus then on the discovery of synonymous and ambiguous keywords. Hereby, we assess the usefulness of various clustering techniques. As a prerequisite to induce hierarchical relationships, our next step is to study measures which quantify the level of generality of a particular keyword. We find that comparatively simple measures can approximate the generality information encoded in reference taxonomies. These insights are used to inform the final task, namely the creation of concept hierarchies. For this purpose, generality-based algorithms exhibit advantages compared to clustering approaches. In order to complement the identification of suitable methods to capture semantic structures, we analyze as a next step several factors which influence their emergence. Empirical evidence is provided that the amount of available data plays a crucial role for determining keyword meanings. From a different perspective, we examine pragmatic aspects by considering different annotation patterns among users. Based on a broad distinction between "categorizers" and "describers", we find that the latter produce more accurate results. This suggests a causal link between pragmatic and semantic aspects of keyword annotation. As a special kind of usage pattern, we then have a look at system abuse and spam. While observing a mixed picture, we suggest that an individual decision should be taken instead of disregarding spammers as a matter of principle. Finally, we discuss a set of applications which operationalize the results of our studies for enhancing both Social Annotation and semantic systems. These comprise on the one hand tools which foster the emergence of semantics, and on the one hand applications which exploit the socially induced relations to improve, e. g., searching, browsing, or user profiling facilities. In summary, the contributions of this work highlight viable methods and crucial aspects for designing enhanced knowledge-based services of a Social Semantic Web.

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This study investigated the relationship between higher education and the requirement of the world of work with an emphasis on the effect of problem-based learning (PBL) on graduates' competencies. The implementation of full PBL method is costly (Albanese & Mitchell, 1993; Berkson, 1993; Finucane, Shannon, & McGrath, 2009). However, the implementation of PBL in a less than curriculum-wide mode is more achievable in a broader context (Albanese, 2000). This means higher education institutions implement only a few PBL components in the curriculum. Or a teacher implements a few PBL components at the courses level. For this kind of implementation there is a need to identify PBL components and their effects on particular educational outputs (Hmelo-Silver, 2004; Newman, 2003). So far, however there has been little research about this topic. The main aims of this study were: (1) to identify each of PBL components which were manifested in the development of a valid and reliable PBL implementation questionnaire and (2) to determine the effect of each identified PBL component to specific graduates' competencies. The analysis was based on quantitative data collected in the survey of medicine graduates of Gadjah Mada University, Indonesia. A total of 225 graduates responded to the survey. The result of confirmatory factor analysis (CFA) showed that all individual constructs of PBL and graduates' competencies had acceptable GOFs (Goodness-of-fit). Additionally, the values of the factor loadings (standardize loading estimates), the AVEs (average variance extracted), CRs (construct reliability), and ASVs (average shared squared variance) showed the proof of convergent and discriminant validity. All values indicated valid and reliable measurements. The investigation of the effects of PBL showed that each PBL component had specific effects on graduates' competencies. Interpersonal competencies were affected by Student-centred learning (β = .137; p < .05) and Small group components (β = .078; p < .05). Problem as stimulus affected Leadership (β = .182; p < .01). Real-world problems affected Personal and organisational competencies (β = .140; p < .01) and Interpersonal competencies (β = .114; p < .05). Teacher as facilitator affected Leadership (β = 142; p < .05). Self-directed learning affected Field-related competencies (β = .080; p < .05). These results can help higher education institution and educator to have informed choice about the implementation of PBL components. With this information higher education institutions and educators could fulfil their educational goals and in the same time meet their limited resources. This study seeks to improve prior studies' research method in four major ways: (1) by indentifying PBL components based on theory and empirical data; (2) by using latent variables in the structural equation modelling instead of using a variable as a proxy of a construct; (3) by using CFA to validate the latent structure of the measurement, thus providing better evidence of validity; and (4) by using graduate survey data which is suitable for analysing PBL effects in the frame work of the relationship between higher education and the world of work.

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El presente trabajo se refiere a la identificación de la Responsabilidad Social Corporativa como estrategia competitiva de una Institución prestadora de Servicios de Salud domiciliarios ubicada en la Ciudad de Bogotá con sedes en Armenia y Pereira. Se investigó la teoría, conceptos y acciones que contribuyen a una gestión socialmente responsable. Para su desarrollo se tomaron como base teórico prácticas los estándares ISO 26000 y la metodología sugerida en el texto publicado por Ramiro Restrepo Gonzalez auspiciado por el Icontec, Responsabilidad Social Nuevas Teorías Nuevas Prácticas. A partir de ello se adecuó un instrumento de diagnóstico aplicado a las partes interesadas de la empresa que permitió medir las prácticas responsables actuales. Adicionalmente se analizó la cadena de valor de la compañía y sobre ella se trazaron posibles acciones encaminadas a fortalecer la estrategia en Responsabilidad Social como agregadora de valor. Con estos elementos de proponen unas líneas de acción a seguir y un modelo de Gestión Socialmente Responsable vital para la continuidad de la empresa en el mercado a largo plazo.

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La investigación que se presenta a continuación reconstruye las acciones de la Responsabilidad Social Empresarial en el sector financiero Colombiano, congregando información académica donde los autores; teóricos y ejecutores, analizan y ofrecen pautas para el actuar responsable y sostenible en una organización. Así mismo este trabajo pone a la vista del lector información recopilada fruto de fuentes primarias, producto de conversaciones con la directiva en el área de Sostenibilidad del Helm Bank, integrante del sector financiero Colombiano y al gremio de bancos más relevantes en el país ASOBANCARIA. El direccionamiento de esta investigación se centra en la identificación del diseño estructural de un área de RSE en el sector financiero y sus componentes definidos en las siguientes variables; Evolución del área, Coordinación del trabajo, División laboral y Plataforma Estratégica Como resultado de dicha investigación se encontraron interesantes elementos. Dentro de estos elementos se hace especial mención a la sinergia que unen la planeación estratégica empresarial con las prácticas de Sostenibilidad, la directa conexión de la alta gerencia con el área de Responsabilidad Empresarial y con especial agrado la enorme puesta en marcha de acciones responsables en las tres dimensiones; social, ambiental y económica por parte de algunas entidades de la banca nacional en torno a sus actores de interés.