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Nya rum för socialt medborgarskap : Om vetenskap och politik i "Zigenarundersökningen" - en socialmedicinsk studie av svenska romer 1962-1965Ohlsson Al Fakir, Ida January 2015 (has links)
This thesis investigates Zigenarundersökningen [the Gypsy study] – a socio-medical study of Swedish Roma conducted in 1962-1965. The Study was financed by the National Labour Market Board, which sought scientific information on every adult Roma citizen in order to plan for targeted authority interventions. The socio-medical team used a number of different medical and social techniques, drawing together different kinds of data – from the molecular to the social level – and adding “objective” records from public institutions, which resulted in the creation of detailed and voluminous individual case files. On the basis of these files, the public health specialist John Takman in charge of the socio-medical examinations formulated a professional opinion on each individual and family. During the execution of the study, new scientific and social questions were articulated, resulting in that the originally limited investigation concerning only a smaller group of Roma citizens evolved into a comprehensive research project covering all people identified as Swedish Roma. In this thesis, this expansion is analysed using methodological tools from Science and Technology Studies that focus on the reflexivity between the goals of scientific actors, and the social conditions and problematisations that surround them. In this way, science and policy mutually influence each other in situated practices, which also involves the drawing of scientific boundaries that serve to establish epistemic authority. Departing from Engin F. Isin’s theory on social citizenship, and its alterities, as constituted in contingent and contextualised social practices, and from Franca Iacovetta’s study of Canadian gatekeepers’ work in cold-war Canada, the thesis investigates how the, with time, increasing and more comprehensive activities of experts and professionals created new dimensions of citizenship. Against this background, the thesis draws the conclusion that the scientific-political examinations of problematised citizenship and citizens in Sweden in the 1960’s, while defining deviance, also defined normality. This implies, furthermore, that scientific measurements and classifications of alterity contributed to constituting those measuring and classifying – the experts and professionals – as virtuous citizens, in accordance with contemporary norms of professionalism and expertise, while the Roma were continually constructed as problematic citizens. Hence, scientific-political activities concerning Swedish Roma in the 1960’s created new spaces of social citizenship, where the contents of both normality and deviance were nuanced and (re)defined.
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Approche bayésienne de l'évaluation de l'incertitude de mesure : application aux comparaisons interlaboratoires / Bayesian approach for the evaluation of measurement uncertainty applied to interlaboratory comparisonsDemeyer, Séverine 04 March 2011 (has links)
La modélisation par équations structurelles est très répandue dans des domaines très variés et nous l'appliquons pour la première fois en métrologie dans le traitement de données de comparaisons interlaboratoires. Les modèles à équations structurelles à variables latentes sont des modèles multivariés utilisés pour modéliser des relations de causalité entre des variables observées (les données). Le modèle s'applique dans le cas où les données peuvent être regroupées dans des blocs disjoints où chaque bloc définit un concept modélisé par une variable latente. La structure de corrélation des variables observées est ainsi résumée dans la structure de corrélation des variables latentes. Nous proposons une approche bayésienne des modèles à équations structurelles centrée sur l'analyse de la matrice de corrélation des variables latentes. Nous appliquons une expansion paramétrique à la matrice de corrélation des variables latentes afin de surmonter l'indétermination de l'échelle des variables latentes et d'améliorer la convergence de l'algorithme de Gibbs utilisé. La puissance de l'approche structurelle nous permet de proposer une modélisation riche et flexible des biais de mesure qui vient enrichir le calcul de la valeur de consensus et de son incertitude associée dans un cadre entièrement bayésien. Sous certaines hypothèses l'approche permet de manière innovante de calculer les contributions des variables de biais au biais des laboratoires. Plus généralement nous proposons un cadre bayésien pour l'amélioration de la qualité des mesures. Nous illustrons et montrons l'intérêt d'une modélisation structurelle des biais de mesure sur des comparaisons interlaboratoires en environnement. / Structural equation modelling is a widespread approach in a variety of domains and is first applied here to interlaboratory comparisons in metrology. Structural Equation Models with latent variables (SEM) are multivariate models used to model causality relationships in observed variables (the data). It is assumed that data can be grouped into separate blocks each describing a latent concept modelled by a latent variable. The correlation structure of the observed variables is transferred into the correlation structure of the latent variables. A Bayesian approach of SEM is proposed based on the analysis of the correlation matrix of latent variables using parameter expansion to overcome identifiability issues and improving the convergence of the Gibbs sampler. SEM is used as a powerful and flexible tool to model measurement bias with the aim of improving the reliability of the consensus value and its associated uncertainty in a fully Bayesian framework. The approach also allows to compute the contributions of the observed variables to the bias of the laboratories, under additional hypotheses. More generally a global Bayesian framework is proposed to improve the quality of measurements. The approach is illustrated on the structural equation modelling of measurement bias in interlaboratory comparisons in environment.
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