II y a moins de vingt ans, les vieux quartiers au coeur des villes canadiennes ou vivait la classe ouvrière étaient menacés de démolition. Maintenant à la mode et habités par une population financièrement à l'aise, ces quartiers sont une forme urbaine paradoxale. Il représentent d'une part la montée d'une structure économique désindustrialisée et dénationaliséd dans laquelle les citadins déclassés et les membres de la classe ouvriere sont marginalisés. D'autre part‐et c'est là l'objet central de ce texte‐il se trouve fossilisé dans les nouvelles textures de ces quartiers une critique immanente du développement urbain moderne. En ce sens, ces quartiers montrent comment, par l'intermédiaire de l'industrie culturelle, les pratiques culturelles marginales engendrent leur propre déplacement.
The old neighborhoods in Canadian inner cities that less than two decades ago were working‐class housing threatened with demolition but have lately become fashionable and affluent are a paradoxical urban form. On the one hand, they represent the emerging dominance of a deindustrialized, denationalized economic structure and the irrelevance of working‐class and underclass city dwellers to this process. On another hand‐this paper's central theme‐fossilized in the new landscapes of these neighborhoods is an immanent critique of modern city‐building. In the latter respect, these areas illustrate how, by the workings of the culture industry, marginal cultural practice breeds its own displacement.
A method is described for determining optimal economic strategies for density management in loblolly pine (Pinustaeda L.) stands in the southern United States. A stochastic dynamic programming model employs a price state transition matrix constructed using a first-order conditional cumulative density function for price based on time-series data for national forest pine stumpage in the South. The model also incorporates WTHIN, a pine growth and yield simulator widely used in the South to support analyses of alternative stand management strategies. Results indicate that at current average prices for pulpwood, on average sites, optimal planting density decisions recommended by the stochastic model are very similar to those obtained with a deterministic price equivalent. However, there are many instances where the thinning decisions recommended by the two models are different, especially when they are used to evaluate better sites or when the price of pulpwood is substantially increased above current region-wide averages.
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