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Inledning : Förhandlingar och spänningsfält

Det sociala arbetets praktik handlar om att ge hjälp och stöd och förhindra exkludering och främja delaktighet. Socialt arbete handlar till stor del om att tillämpa befintliga lagar utifrån det tolkningsutrymme som finns. I varje enskilt fall vägs en rad individuella omständigheter samman med tolkningar av denna lagstiftning. Det är bl.a. inom ramen för detta handlingsutrymme som de sociala rättig

Omfördelning, erkännande, representation : – Nancy Frasers teori om rättvisa

Nancy Frasers arbete är ett exempel på kritik som en rad teoretiker har riktat mot Marshall, och inte minst mot hans förgivettagande att nationen är den givna ram inom vilken medborgarskap, det vill säga rättigheter av olika slag, anordnas och tillhandahålls. Även om vi i dag lever i en tid av globalisering och världsomspännande migration där rörlighet är mer regel än undantag, så är nationalismen

Rätten till en skälig levnadsnivå i förhandling

Ett detta kapitel som behandlar sociala rättigheter i ett domstolssammanhang analyseras domstolars betydelsefulla roll när det gäller att uttolka och använda begreppet skälig levnadsnivå, som ett sätt att både omförhandla och utveckla rättigheter.

De mänskliga rättigheternas framväxt

Det är viktigt att förstå att rättigheter kan etableras och utvecklas i en viss tid, för att i en annan tid utmanas, urholkas och ersättas av skyldigheter. Olika rättighetskategorier kan få olika tyngd i förhållande till varandra. Ett exempel belyses i detta kapitel, om de mänskliga rättigheternas framväxt i ett internationellt sammanhang. Bland annat behandlar kapitlet hur det kommer sig att ekon

Before reflexivity comes preflexivity : or how to make sociology more open

Vilken betydelse har det förvetenskapliga för vetenskapen? Vilka betydelser kan det ha? Ska vi som forskare eftersträva största möjliga vetenskaplighet från början till slut? Annorlunda uttryckt: Ska vi metodiskt trycka bort våra förvetenskapliga impulser? Eller ska vi tvärtom välkomna dem? Att följa varje förvetenskaplig impuls, var vi än befinner oss i forskningsprocessen, skulle förmodligen få

Att göra kurator

Recenserad bok: Kurator inom hälso- och sjukvård (upplaga 3)Författare: Annika Lundin, Inger Benkel, Gerd de Neergaard, Britt-MarieJohansson och Charlotta ÖhrlingFörlag: Studentlitteratur, Lund, 2019

Summing up

Empowering Children and Youththrough Law and ParticipationIn 2023, between August the 30th and September the 1st, the Child RightsInstitute at the Department of Sociology of Law, within Faculty of SocialSciences, Lund University, was arranging a three-day research conference onthe theme Empowering Children and Youth through Law and Participation.41 participants from 13 different countries particip

Contemporary Nordic Histories of the Universities : The Renewal of An Old Field

Historians of the universities have not always belonged to the avantgarde of historical research. On the contrary, many studies of the universities have tended to be rather traditional and narrow-minded. In recent years, however, the surge in the history of knowledge has opened up novel perspectives and given new impulses to how to write the history of the universities. In this presentation, Johan

Sweden: government considers obligation to denounce undocumented migrants

This blog was written by Jacob Lind, Postdoctoral researcher in international migration at Malmö University; Anna Lundberg, Professor of Sociology of Law at Lund University; Hanna Scott, Doctoral student at Lunköpig University; and Karin Åberg, Doctoral student at the University of Gothenburg.

Structure learning of Gaussian Markov random fields with false discovery rate control

In this paper, we propose a new estimation procedure for discovering the structure of Gaussian Markov random fields (MRFs) with false discovery rate (FDR) control, making use of the sorted ℓ1-norm (SL1) regularization. A Gaussian MRF is an acyclic graph representing a multivariate Gaussian distribution, where nodes are random variables and edges represent the conditional dependence between the con

False discoveries occur early on the lasso path

In regression settings where explanatory variables have very low correlations and there are relatively few effects, each of large magnitude, we expect the Lasso to find the important variables with few errors, if any. This paper shows that in a regime of linear sparsity-meaning that the fraction of variables with a nonvanishing effect tends to a constant, however small-this cannot really be the ca

Joint genotype- and ancestry-based genome-wide association studies in admixed populations

In genome-wide association studies (GWAS) genetic loci that influence complex traits are localized by inspecting associations between genotypes of genetic markers and the values of the trait of interest. On the other hand, admixture mapping, which is performed in case of populations consisting of a recent mix of two ancestral groups, relies on the ancestry information at each locus (locus-specific

On the empirical bayes approach to the problem of multiple testing

We discuss the Empirical Bayes approach to the problem of multiple testing and compare it with a very popular frequentist method of Benjamini and Hochberg aimed at controlling the false discovery rate. Our main focus is the 'sparse mixture' case, when only a small proportion of tested hypotheses is expected to be false. The specific parametric model we consider is motivated by the application to d

Selecting explanatory variables with the modified version of the bayesian information criterion

We consider the situation in which a large database needs to be analyzed to identify a few important predictors of a given quantitative response variable. There is a lot of evidence that in this case classical model selection criteria, such as the Akaike information criterion or the Bayesian information criterion (BIC), have a strong tendency to overestimate the number of regressors. In our earlie

Extending the modified Bayesian Information Criterion (mBIC) to dense markers and multiple interval mapping

The modified version of Bayesian Information Criterion (mBIC) is a relatively simple model selection procedure that can be used when locating multiple interacting quantitative trait loci (QTL). Our earlier work demonstrated the statistical properties of mBIC for situations where the average genetic map interval is at least 5 cM. In this work mBIC is adapted to genome searches based on a dense map

Applied statistics and the Indianness of Indian data

We provide an overview of current and possible future directions of Applied Statistics and explore choice of topics (e.g., Bioinformatics), paradigms and methodology. We also provide a tentative assessment of special problems arising in analysis of Indian data. Some priorities and need for special care in applied work are suggested, specially in the Indian context.