4,691 research outputs found
Taxing the Market Citizen: Fiscal Policy and Inequality in an Age of Privatization
Focusing on Canada, Philipps argues that recent efforts to revise important facets of the income tax system are best understood through the lens of privatization. By promoting personal responsibility, the tax code is contributing to the erosion of the ideal of social citizenship and replacing it with a new model of market citizenship
A guide to organic grassland
Organic farming systems in the UK are traditionally based on ley/arable crop rotations. Up to 70% of the farmed area comprises of mixed grass and legume leys. These leys offer a powerful mechanism for supplying nitrogen through their potential to harvest biologically fixed nitrogen to support both animal production and a subsequent phase of arable cropping. This bulletin answers some of the common questions about organic grassland management
Animal Health and Welfare in Organic Agriculture
A brief report is given of the 4th Network for Animal Health and Welfare in Organic Agriculture (NAWHOA) workshop at Wageningen in the Netherlands, held in March 2001. The workshop focussed on breeding (especially dairy, pigs and poultry) and feeding, as opposed to yield and productivity, with the emphasis on food quality. Feeding was discussed from two angles: feeding for production, and feeding to protect the animal from disease or parasitic infection.
A vision of the future was described, in which higher prices are gained for fewer animals, better housed and with a regional approach to breeding, processing and marketing
Distribution of Damages in Car Accidents throught the Use of Neural Networks
After a traffic accident the damage has to be fairly divided
among the parties involved, and a ratio has to be determined.
There are many precedents for this, and judges have developed catalogues
suggesting ratios for common types of accidents.
The problem that "every case is different," however, remains.
Many cases have familiar aspects, but also unfamiliar ones. Even if
a case is composed of several familiar aspects with established ratios,
the question remains as to how these are to be figured into one
ratio. The first thought would be to invent a mathematical
formula, but such formulae are rigid and speculative. The body of
law has grown organically and must not be forced into a sleek system.
The distant consequences of using a mathematical formula
cannot be foreseen; they might well be grossly unjust.
I suggest using a neural network instead. Precedents may be
fed into the network directly as learning patterns. This has the
advantage that court rulings can be transferred directly and not via
a formula. Future modifications in court rulings also can be
adopted by the network. As far as the effect of the learning patterns
on new cases is concerned, a relatively safe assumption is that
they will fit in harmoniously with the precedents. This is due to
the network's structure—a number of simple decisional units,
which are interconnected, tune their activity to each other, thus
achieving a state of equilibrium. When the conditions of such an
equilibrium are translated back into the terms of the case, the solution
can hardly be totally unjust
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