By Dreassi E., Gottard A.
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Extra resources for A Bayesian approach to model interdependent event histories by graphical models
Introduction | 25 ripped apart by the evil Hun. We also see relationships between husband and wife—Orr’s “For Home and Country” comes to mind, picturing a soldier/husband embracing wife and child (fig. 3). And finally, we see relationships between siblings, in which everyone is made to feel a sibling, wife, or mother to every soldier. We also see young brothers and sisters working together for the war effort—Captain Tick-Mouse characters Davy and Dorfy, for instance (fig. 23). Although sociological theory has its origins in the late nineteenth century, the basic social structures it defines exist, perhaps unfortunately, in many of the same ways they have for centuries.
Food Administration and the corresponding British League of National Safety, as well as the Red Cross and the ywca, to name a few. At the private level, we delve into magazine fiction and romance novels meant to enlist both married and single women into the war effort. Next we explore in chapter 4 the vast store of material directed toward children. From textbooks to war games, no area of childhood escaped the scrutiny or the reach of war propaganda. Finally, we turn to propaganda that seizes on those images of the innocent, on the noncombatant as fodder for Hun atrocities.
2 Beyond controlling the press, as we shall see shortly, Hoover established a system of hands-on coercion that was impossible for the patriotic woman to resist, and a system of voluntary compliance that enlisted food distributors and manufacturers—that is, the corporate end of food production. S. Food Administration and its efforts to manipulate the sale and distribution of food as well as its consumption. Albert N. Merritt, a member of the Food Administration staff, in his 1920 book War Time Control of Distribution of Foods, details in great length the pressures applied to manufacturers and distributors of food as well as food retailers.
A Bayesian approach to model interdependent event histories by graphical models by Dreassi E., Gottard A.