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The subject of this article is the division of labour between the sexes which is specific to capitalism, and the characteristics of the space-time of women. On the basis of works written by historians, we are trying to show that the present division of labour which sentences women primarily to domestic work and men to productive work, is linked to the specifically capitalist separation between production and reproduction. The whole sphere of reproduction where specialized institutions such as school or medicine are closely linked to the family, contributes, through the transformations of domestic work, to the establishment of new social relationships: the children are permanent objects of care and education, the women are defined in terms of mother-wives. Those transformations can be seen in those of the space and time of urban structures and housing. Now the space-time of women seems mainly structured by domestic work. Concrete elements underline it: for example the space-time imposed upon women is delimited by a series of prohibitions bearing upon those places and times that do not belong to domestic work. The constitution of this space-time is based upon the negation of women's work within production. Reformulated in terms of mobility, the space-time of women differs according to social classes but its main features stem from the division of labour between the sexes and the status of the mother-wife.  相似文献   
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What makes one type of entrepreneurial ecosystem (EE) more conducive to entrepreneurial dynamics than another? EE research is a hot topic, and considerable progress has been made as regards its elements, network, and actors’ components. However, some scholars regret the absence of an empirical analysis of EE as a whole to understand how EE configuration operates. To introduce this perspective, we propose an unexplored inter-organizational ties analysis among all EE actors, at a country-level scale. Based on the network theory perspective, we conduct an exploratory research in five low-income African countries, using innovative research methods (the quantitative graph theory, web scraping, the fuzzy-set qualitative comparative analysis) to understand the organizational patterns in these EEs, and their impact on entrepreneurial outcomes. At the core of this perspective lie inter-organizational ties measures of closeness, cohesiveness, and inter-connectedness, which are key causal conditions for high entrepreneurial dynamics levels and rates in low-income countries. This research underlines the importance of EE network attributes to facilitate the easy distribution of entrepreneurial nurturing components to entrepreneurs. It also highlights the importance of ease of information and knowledge flow, as well as a strong collaborative and coopetitive environment to make an EE more conducive to entrepreneurial dynamics.

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