Pais gays/ bissexuais e mães lésbicas/ bissexuais: Experiências de discriminação e enquadramento social das famílias

Dissertação de Mestrado apresentada no ISPA – Instituto Universitário para obtenção de grau de Mestre na especialidade de Psicologia Clínica

A gravitação da ética do cuidado na mediação : intervenção social e escolar nas escolas

Na resolução de conflitos, no incumprimento de normas e nas situações de indisciplina escolar, exigem-se mediadores e programas de mediação. Na implementação destes programas é essencial formar mediadores para intervirem em contexto socioeducativo com alunos, professores e família, sendo exigido a esses profissionais uma ética profissional mediadora. A necessidade de educar os alunos para integrarem as equipes de mediação implica a promoção de valores de convivência e uma ética do cuidado com os outros. A ética do cuidado e do encontro permite mais possibilidades de convívio e novas formas de existência humana. Procuramos interpretar os pontos de vista de alguns autores sobre a mediação (modelos e programas), destacando a educação para a tolerância, solidariedade, responsabilidade e cidadania, que são exigências da escola no âmbito da educação para os valores. A mediação contribui para resolver conflitos, melhorar a comunicação, as relações e a convivência.

‘‘Model age-based” and ‘‘copy when uncertain” biases in children’s social learning of a novel task

Theoretical models of social learning predict that individuals can benefit from using strategies that specify when and whom to copy. Here the interaction of two social learning strategies, model age-based biased copying and copy when uncertain, was investigated. Uncertainty was created via a systematic manipulation of demonstration efficacy (completeness) and efficiency (causal relevance of some actions). The participants, 4- to 6-year-old children (N = 140), viewed both an adult model and a child model, each of whom used a different tool on a novel task. They did so in a complete condition, a near-complete condition, a partial demonstration condition, or a no-demonstration condition. Half of the demonstrations in each condition incorporated causally irrelevant actions by the models. Social transmission was assessed by first responses but also through children’s continued fidelity, the hallmark of social traditions. Results revealed a bias to copy the child model both on first response and in continued interactions. Demonstration efficacy and efficiency did not affect choice of model at first response but did influence solution exploration across trials, with demonstrations containing causally irrelevant actions decreasing exploration of alternative methods. These results imply that uncertain environments can result in canalized social learning from specific classes of mode

Urban Agriculture Oriented towards Self-Supply, Social and Commercial Purpose: A Typology

Urban agriculture, a dynamic multifunctional phenomenon, affects the spatial diversification of urban land use, its valorization and its governance. Literature acknowledges its contribution to the development of sustainable cities. The dimension and extent of this contribution depends significantly on the particular form and function of urban agriculture. However, the complexity of interests and dimensions is insufficiently covered by theory. This paper proposes a typology for urban agriculture, supporting both theory building and practical decision processes. We reviewed and mapped the diversity of the types of agriculture found along three beneficial dimensions (self-supply, socio-cultural, commercial) for product distribution scale and actors. We distinguish between ideal types, subtypes and mixed types. Our intention is to include a dynamic perspective in the typology of urban agricultural land use because transition processes between types are observable due to the existence of complex motivations and influences. In a pilot study of 52 urban agriculture initiatives in Germany, we tested the validity of the typology and discussed it with stakeholders, proving novelty and relevance for profiling discussions.

Association entre l’environnement social en milieu de garde et les comportements liés à l’apport alimentaire et l'activité physique des enfants de trois à cinq ans

Résumé : Problématique : Puisque les enfants de moins de cinq ans passent environ 29 heures par semaine dans les milieux de garde et qu’ils apprennent en observant et en imitant les autres, les éducateurs et les pairs peuvent être des modèles importants dans l’apprentissage de saines habitudes de vie. Les objectifs étaient d’analyser les associations entre 1) les pratiques des éducateurs et l’apport alimentaire, 2) l’activité physique (AP) des enfants de trois à cinq ans dans les milieux de garde, 3) le degré d’influence des pairs sur l’apport alimentaire, et 4) l’AP des enfants de trois à cinq ans. Méthodes : Les associations entre les pratiques des éducateurs et les comportements liés à l’apport alimentaire et l’AP des enfants ont été étudiées à l’aide d’une étude transversale, menée auprès de 723 enfants de trois à cinq ans de 51 milieux de garde en Saskatchewan et au Nouveau-Brunswick à l’automne 2013 et 2014. Le degré d’influence des pairs sur l’apport alimentaire et l’AP des enfants a été étudié à l’aide d’une étude longitudinale, menée auprès de 238 enfants de trois à cinq ans au début et à la fin des années scolaires 2013-2014 et 2014-2015. L’AP des enfants a été mesurée à l’aide d’accéléromètres, et l’apport alimentaire a été mesuré à l’aide d’une analyse de consommation par pesée et photographiée. Une grille d’observation de l’environnement a permis de mesurer les pratiques des éducateurs en milieu de garde. Des régressions linéaires multiniveaux ont répondu aux quatre objectifs de l’étude. Résultats : Le modelage est positivement associé à l’apport en sucre (p=0,026) et l’éducation alimentaire est négativement associée à l’apport en calories (p=0,026) et en fibres (p=0,044). Ne pas utiliser de récompenses alimentaires est négativement associée à l’apport en gras (p=0,049). Aucune pratique n’est associée à l’AP des enfants. Plus l’écart entre l’apport alimentaire et l’AP des enfants et ceux de leurs pairs est grand au début de l’année, plus les enfants voient leur apport alimentaire et leur AP changer, se rapprochant de la moyenne de leurs pairs neuf mois plus tard (p<0,05). Conclusion : Les éducateurs et les pairs jouent un rôle important dans l’adoption d’habitudes alimentaires saines et d’AP chez les enfants de trois à cinq ans dans les milieux de garde. L’environnement social est donc important à considérer dans les interventions de promotion d’habitudes de vie saine dans les milieux de garde.

Actividad física, imagen corporal y condiciones de vida. Un abordaje teórico desde los determinantes y la determinación social de la salud

El objetivo de este trabajo fue analizar la construcción social del conocimiento en Actividad física desde dos planteamientos teóricos de la salud centrando el análisis en la relación con la imagen corporal y las condiciones de vida. Se trata de un estudio teórico desde el análisis de contenido de corte narrativo de 98 artículos desarrollado en cinco etapas a través de: rastreo de documentos en bases de datos en el periodo 2000-2014, revisión de artículos, y análisis y hallazgos de significados, sentidos o contenidos. Como hallazgo importante se puede mencionar que en la literatura científica relacionada con la triada Actividad física-imagen corporal-condiciones de vida predomina la construcción del conocimiento a partir de modelos hegemónicos y dominantes que priorizan la intensidad, la frecuencia y el tiempo dedicado a la AF, la estandarización en la comparación de la apariencia física y la medición de elementos materiales en el modo de vivir de las personas, principalmente desde el abordaje de los determinantes sociales de la salud. Se concluye que es necesario revisar las poblaciones que incluyendo en los estudios al estar concentrados el conocimiento en solo unos grupos; así como se hace explícita la necesidad de revisar cuales son los aportes de la Educación Física y otras disciplinas (ciencias sociales) para una mayor comprensión teórica y práctica de la AF.

Conceptos y prácticas de la actividad física que se reproducen en las clases sociales: aproximación desde el enfoque determinantes/ determinación social de la salud

El concepto de actividad física es concebido de diferentes formas. Mostrando que existen varios factores que afectan de manera directa e indirecta la percepción que los sujetos construyen entorno a él, generando así una aproximación a diferentes definiciones de la actividad física desde varias perspectivas y dimensiones, donde predomina una noción netamente biológica. Este estudio pretende analizar, como desde las clases sociales se concibe la actividad física en sus conceptos y prácticas considerando los modelos de determinantes y determinación social para la salud. Con fin de comprender como los autores de la literatura científica conciben la actividad física y la relación con las clases sociales, desde una perspectiva teórica de los determinantes sociales de la salud y la teoría de la determinación social, se realizó una revisión documental y análisis de contenido de los conceptos y prácticas de la actividad física que se han considerado en los últimos 10 años. Para ello se seleccionaron las bases de datos PubMed y BVS (Biblioteca Virtual de Salud) por sus énfasis en publicaciones de salud mundialmente. Mostrando que la actividad física es concebida dominantemente desde una perspectiva biológica que ejerce una mirada reduccionista. Las relaciones entre actividad física y las clases sociales están claramente establecidas, sin embargo, estas relaciones pueden discrepar teniendo en cuenta el concepto de clase social, el contexto y la orientación de los autores y las poblaciones objetos de estudio. Obteniendo como resultado que los estudios documentados, revisados y analizados muestran una clara tendencia al modelo de determinantes; no obstante, algunos estudios en sus análisis se orientan hacia el modelo de determinación social. En cuanto al concepto de clases sociales los autores consideran una combinación de factores culturales y económicos sin atreverse a adoptar un concepto específico.

Total Quality Management and Corporate Social Responsibility. Literature review. The case of Nabeiro Delta Cafés Group

The relationship between the themes of Total Quality Management (TQM) and Social Responsibility (CSR) through the concepts, approaches and models of excellence is a reality of sustainable and stable companies. Being organizations, people, act correctly and rightly do in society go through a quality management and social responsibility thereof. It is based on these two philosophies (Total Quality Management and Corporate Social Responsibility), which developed this literature review work, essentially based on a relational analysis in two papers, namely: "TQM and CSR Nexus" by Ghobadian et al. (2007) and "The Corporate Social Responsibility Audit Within the Quality Management Framework," de Kok et al. (2001) and applied to an organizational situation in concrete: the Nabeiro Delta Cafés Group - SGPS, SA.

Embedded representations of social interactions

Social interactions have been the focus of social science research for a century, but their study has recently been revolutionized by novel data sources and by methods from computer science, network science, and complex systems science. The study of social interactions is crucial for understanding complex societal behaviours. Social interactions are naturally represented as networks, which have emerged as a unifying mathematical language to understand structural and dynamical aspects of socio-technical systems. Networks are, however, highly dimensional objects, especially when considering the scales of real-world systems and the need to model the temporal dimension. Hence the study of empirical data from social systems is challenging both from a conceptual and a computational standpoint. A possible approach to tackling such a challenge is to use dimensionality reduction techniques that represent network entities in a low-dimensional feature space, preserving some desired properties of the original data. Low-dimensional vector space representations, also known as network embeddings, have been extensively studied, also as a way to feed network data to machine learning algorithms. Network embeddings were initially developed for static networks and then extended to incorporate temporal network data. We focus on dimensionality reduction techniques for time-resolved social interaction data modelled as temporal networks. We introduce a novel embedding technique that models the temporal and structural similarities of events rather than nodes. Using empirical data on social interactions, we show that this representation captures information relevant for the study of dynamical processes unfolding over the network, such as epidemic spreading. We then turn to another large-scale dataset on social interactions: a popular Web-based crowdfunding platform. We show that tensor-based representations of the data and dimensionality reduction techniques such as tensor factorization allow us to uncover the structural and temporal aspects of the system and to relate them to geographic and temporal activity patterns.

Data surveillance for infectious diseases: models, complex networks and machine learning

In this thesis, we investigate the role of applied physics in epidemiological surveillance through the application of mathematical models, network science and machine learning. The spread of a communicable disease depends on many biological, social, and health factors. The large masses of data available make it possible, on the one hand, to monitor the evolution and spread of pathogenic organisms; on the other hand, to study the behavior of people, their opinions and habits. Presented here are three lines of research in which an attempt was made to solve real epidemiological problems through data analysis and the use of statistical and mathematical models. In Chapter 1, we applied language-inspired Deep Learning models to transform influenza protein sequences into vectors encoding their information content. We then attempted to reconstruct the antigenic properties of different viral strains using regression models and to identify the mutations responsible for vaccine escape. In Chapter 2, we constructed a compartmental model to describe the spread of a bacterium within a hospital ward. The model was informed and validated on time series of clinical measurements, and a sensitivity analysis was used to assess the impact of different control measures. Finally (Chapter 3) we reconstructed the network of retweets among COVID-19 themed Twitter users in the early months of the SARS-CoV-2 pandemic. By means of community detection algorithms and centrality measures, we characterized users’ attention shifts in the network, showing that scientific communities, initially the most retweeted, lost influence over time to national political communities. In the Conclusion, we highlighted the importance of the work done in light of the main contemporary challenges for epidemiological surveillance. In particular, we present reflections on the importance of nowcasting and forecasting, the relationship between data and scientific research, and the need to unite the different scales of epidemiological surveillance.

[almost An Autobiography: A Study Of Social Scientists In Health Based On The Lattes Curriculum].

Among the various ways of adopting the biographical approach, we used the curriculum vitaes (CVs) of Brazilian researchers who work as social scientists in health as our research material. These CVs are part of the Lattes Platform of CNPq - the National Council for Scientific and Technological Development, which includes Research and Institutional Directories. We analyzed 238 CVs for this study. The CVs contain, among other things, the following information: professional qualifications, activities and projects, academic production, participation in panels for the evaluation of theses and dissertations, research centers and laboratories and a summarized autobiography. In this work there is a brief review of the importance of autobiography for the social sciences, emphasizing the CV as a form of autobiographical practice. We highlight some results, such as it being a group consisting predominantly of women, graduates in social sciences, anthropology, sociology or political science, with postgraduate degrees. The highest concentration of social scientists is located in Brazil's southern and southeastern regions. In some institutions the main activities of social scientists are as teachers and researchers with great thematic diversity in research.

Characterization Of Microsatellite Markers Developed From Prosopis Rubriflora And Prosopis Ruscifolia (leguminosae - Mimosoideae), Legume Species That Are Used As Models For Genetic Diversity Studies In Chaquenian Areas Under Anthropization In South America.

Prosopis rubriflora and Prosopis ruscifolia are important species in the Chaquenian regions of Brazil. Because of the restriction and frequency of their physiognomy, they are excellent models for conservation genetics studies. The use of microsatellite markers (Simple Sequence Repeats, SSRs) has become increasingly important in recent years and has proven to be a powerful tool for both ecological and molecular studies. In this study, we present the development and characterization of 10 new markers for P. rubriflora and 13 new markers for P. ruscifolia. The genotyping was performed using 40 P. rubriflora samples and 48 P. ruscifolia samples from the Chaquenian remnants in Brazil. The polymorphism information content (PIC) of the P. rubriflora markers ranged from 0.073 to 0.791, and no null alleles or deviation from Hardy-Weinberg equilibrium (HW) were detected. The PIC values for the P. ruscifolia markers ranged from 0.289 to 0.883, but a departure from HW and null alleles were detected for certain loci; however, this departure may have resulted from anthropic activities, such as the presence of livestock, which is very common in the remnant areas. In this study, we describe novel SSR polymorphic markers that may be helpful in future genetic studies of P. rubriflora and P. ruscifolia.

[impact Variables On The Decline In Infant Mortality In The State Of São Paulo, Brazil: 1998-2008].

This is an ecological, analytical and retrospective study comprising the 645 municipalities in the State of São Paulo, the scope of which was to determine the relationship between socioeconomic, demographic variables and the model of care in relation to infant mortality rates in the period from 1998 to 2008. The ratio of average annual change for each indicator per stratum coverage was calculated. Infant mortality was analyzed according to the model for repeated measures over time, adjusted for the following correction variables: the city's population, proportion of Family Health Programs (PSFs) deployed, proportion of Growth Acceleration Programs (PACs) deployed, per capita GDP and SPSRI (São Paulo social responsibility index). The analysis was performed by generalized linear models, considering the gamma distribution. Multiple comparisons were performed with the likelihood ratio with chi-square approximate distribution, considering a significance level of 5%. There was a decrease in infant mortality over the years (p < 0.05), with no significant difference from 2004 to 2008 (p > 0.05). The proportion of PSFs deployed (p < 0.0001) and per capita GDP (p < 0.0001) were significant in the model. The decline of infant mortality in this period was influenced by the growth of per capita GDP and PSFs.

Censored Linear Regression Models For Irregularly Observed Longitudinal Data Using The Multivariate-t Distribution.

In acquired immunodeficiency syndrome (AIDS) studies it is quite common to observe viral load measurements collected irregularly over time. Moreover, these measurements can be subjected to some upper and/or lower detection limits depending on the quantification assays. A complication arises when these continuous repeated measures have a heavy-tailed behavior. For such data structures, we propose a robust structure for a censored linear model based on the multivariate Student's t-distribution. To compensate for the autocorrelation existing among irregularly observed measures, a damped exponential correlation structure is employed. An efficient expectation maximization type algorithm is developed for computing the maximum likelihood estimates, obtaining as a by-product the standard errors of the fixed effects and the log-likelihood function. The proposed algorithm uses closed-form expressions at the E-step that rely on formulas for the mean and variance of a truncated multivariate Student's t-distribution. The methodology is illustrated through an application to an Human Immunodeficiency Virus-AIDS (HIV-AIDS) study and several simulation studies.

Augmented Mixed Models For Clustered Proportion Data.

Often in biomedical research, we deal with continuous (clustered) proportion responses ranging between zero and one quantifying the disease status of the cluster units. Interestingly, the study population might also consist of relatively disease-free as well as highly diseased subjects, contributing to proportion values in the interval [0, 1]. Regression on a variety of parametric densities with support lying in (0, 1), such as beta regression, can assess important covariate effects. However, they are deemed inappropriate due to the presence of zeros and/or ones. To evade this, we introduce a class of general proportion density, and further augment the probabilities of zero and one to this general proportion density, controlling for the clustering. Our approach is Bayesian and presents a computationally convenient framework amenable to available freeware. Bayesian case-deletion influence diagnostics based on q-divergence measures are automatic from the Markov chain Monte Carlo output. The methodology is illustrated using both simulation studies and application to a real dataset from a clinical periodontology study.