Death Qualification in Black and White: Racialized Decision Making and Death-Qualified Juries

Law & Policy ◽  
2018 ◽  
Vol 40 (2) ◽  
pp. 148-171
Author(s):  
Mona Lynch ◽  
Craig Haney
2019 ◽  
Vol 70 (1) ◽  
pp. 1357
Author(s):  
V. RIBIKAUSKAS ◽  
J. KUČINSKIENĖ ◽  
D. ARNEY ◽  
D. RIBIKAUSKIENĖ

This study aimed at comparing the behaviour of growing bulls from two different breeds – Lithuanian black and white (dairy cattle breed, n=22) and Aubrac (beef cattle breed, n=17). The hypothesis tested in this study was that breed differences would result in differences in the behaviour of the bulls and that a clear understanding of such differences could lead to improved husbandry to meet their needs. Animals were raised in insulated barn in pens with deep litter, both breeds under similar conditions (animals were 11 to 14 month old, each group in separate 100 m2 pen). Aubrac bulls spent more time in standing, ruminating, drinking and aggressive behaviour and less time in eating than the Lithuanian black and white bulls. There were no significant differences in lying and moving behaviour. These differences possibly related to different breed of animals, and should inform decision making about the management of the two breeds studied.


1996 ◽  
Vol 11 (11) ◽  
pp. 651-656 ◽  
Author(s):  
Elizabeth D. McKinley ◽  
Joanne M. Garrett ◽  
Arthur T. Evans ◽  
Marion Danis

1988 ◽  
Vol 17 (2) ◽  
pp. 139-146
Author(s):  
Martha A. Kimball

Farm management decision making would be enhanced if solutions to farm problems were offered as a set of feasible alternatives, rather than as a single “best” solution for achieving favorable results. A farm manager could evaluate an array of alternatives against the farm's unique characteristics, which frequently are difficult to quantify and model, and select the most efficient action for the farm. Often, when agricultural economists use optimization, a single optimal solution is presented, with the corresponding best method for implementation. If the optimal solution is not appealing, the farmer does not move toward more efficient practices because alternatives are not offered. It is possible, however, to eliminate black-and-white solutions and increase the choices offered to operators. Two techniques for this are the examination of nearly optimal solutions (NOS) and modeling to generate alternatives (MGA).


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