Cohabiting unions in France and West Germany

This paper compares the non-marital birth pattern in France and West Germany. Since the beginning of the eighties, France witnessed a steady increase in non-marital birth rates, while in West Germany non-marital birth rates have remained at a relatively low level. We attribute these differences to the institutional and legal constraints from both sides of the Rhine which hamper or foster childbearing in cohabiting unions. Using data from the French and German Family and Fertility Survey, we apply event history modeling to the transition to marriage and first birth. Our results indicate a polarization of family forms in both countries. In West Germany, we find a polarization in a "family sector" and a "non-family sector" while in France there is a polarization in a "marriage sector" and a "cohabiting sector".cohabitation, event history analysis, family policy, fertility, France, Germany, marriage

Cohabiting unions in France and West Germany: transitions to first birth and first marriage

This paper compares the non-marital birth pattern in France and West Germany. Since the beginning of the eighties, France witnessed a steady increase in non-marital birth rates, while in West Germany non-marital birth rates have remained at a relatively low level. We attribute these differences to the institutional and legal constraints from both sides of the Rhine which hamper or foster childbearing in cohabiting unions. In West Germany, family policies are based on the model of the conjugal family and the male breadwinner model. Until recently, it was not possible for an unmarried father to recognize his child and to obtain parental authority. In France, family policies have responded to the “pluralization” of family lives and it is possible for an unmarried father to recognize his child and obtain parental authority. Using data from the French and German Family and Fertility Survey, we apply event history modeling to the transition to marriage and first birth. Our results indicate a polarization of family forms in both countries. In West Germany, we find a polarization in a “family sector” and a “non-family sector” while in France there is a polarization in a “marriage sector” and a “cohabiting sector”.France, Germany (Alte Bundesländer), Germany/FRG

The HyperBagGraph DataEdron: An Enriched Browsing Experience of Multimedia Datasets

Traditional verbatim browsers give back information in a linear way according to a ranking performed by a search engine that may not be optimal for the surfer. The latter may need to assess the pertinence of the information retrieved, particularly when s$\cdot$he wants to explore other facets of a multi-facetted information space. For instance, in a multimedia dataset different facets such as keywords, authors, publication category, organisations and figures can be of interest. The facet simultaneous visualisation can help to gain insights on the information retrieved and call for further searches. Facets are co-occurence networks, modeled by HyperBag-Graphs -- families of multisets -- and are in fact linked not only to the publication itself, but to any chosen reference. These references allow to navigate inside the dataset and perform visual queries. We explore here the case of scientific publications based on Arxiv searches.Comment: Extension of the hypergraph framework shortly presented in arXiv:1809.00164 (possible small overlaps); use the theoretical framework of hb-graphs presented in arXiv:1809.0019

A web service based on RESTful API and JSON Schema/JSON Meta Schema to construct knowledge graphs

Data visualisation assists domain experts in understanding their data and helps them make critical decisions. Enhancing their cognitive insight essentially relies on the capability of combining domain-specific semantic information with concepts extracted out of the data and visualizing the resulting networks. Data scientists have the challenge of providing tools able to handle the overall network lifecycle. In this paper, we present how the combination of two powerful technologies namely the REST architecture style and JSON Schema/JSON Meta Schema enable data scientists to use a RESTful web service that permits the construction of knowledge graphs, one of the preferred representations of large and semantically rich networks.Comment: 5 pages; 6 figure