|Product Name||Marvelous Possessions: The Wonder Of The New World|
|Category||Book / Magazine / Publication|
|Short Description||Height:9.02 inches / Length:0.68 inches / Weight:0.82 pounds / Width:6.26 inches|
|Amazon.com||Buy on Amazon ~ 0226306526|
|Price New||13.02 US Dollars (curriencies)|
|Price Used||1.93 US Dollars (curriencies)|
|Width||0.6 inches (convert)|
|Height||9 inches (convert)|
|Length||6 inches (convert)|
|Weight||13.12 ounces (convert)|
|Long Description||Marvelous Possessions is a study of the ways in which Europeans of the late Middle Ages and the early modern period represented non-European peoples and took possession of their lands, in particular the New World. In a series of innovative readings of travel narratives, judicial documents, and official reports, Stephen Greenblatt shows that the experience of the marvelous, central to both art and philosophy, was cunningly yoked by Columbus and others to the service of colonial appropriation. He argues that the traditional symbolic actions and legal rituals through which European sovereignty was asserted were strained to the breaking point by the unprecedented nature of the discovery of the New World. But the book also shows that the experience of the marvelous is not necessarily an agent of empire: in writers as different as Herodotus, Jean de Léry, and Montaigne—and notably in Mandeville's Travels, the most popular travel book of the Middle Ages—wonder is a sign of a remarkably tolerant recognition of cultural difference. Marvelous Possession is not only a collection of the odd and exotic through which Stephen Greenblatt powerfully conveys a sense of the marvelous, but also a highly original extension of his thinking on a subject that has occupied him throughout his career. The book reaches back to the ancient Greeks and forward to the present to ask how it is possible, in a time of disorientation, hatred of the other, and possessiveness, to keep the capacity for wonder from being poisoned? "A marvellous book. It is also a compelling and a powerful one. Nothing so original has ever been written on European responses to 'The wonder of the New World.'"—Anthony Pagden, Times Literary Supplement "By far the most intellectually gripping and penetrating discussion of the relationship between intruders and natives is provided by Stephen Greenblatt's Marvelous Possessions ."—Simon Schama, The New Republic "For the most engaging and illuminating perspective of all, read Marvelous Possessions ."—Laura Shapiro, Newsweek|
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Article of interest
The attributes are somewhat like fields. They are the individual data items that describe each product. Each product entry will have several attributes. There is no telling which attributes will be attached to each product but they all have the same basic format.
Here is an example of one attribute. When accessing the data feed API, you can get your data in XML or JSON format. Here it is displayed in XML format to make it a little easier to read through.
<attribute> <field_name>product</field_name> <group_name>Over View</group_name> <title>Product Name</title> <data_type>varchar</data_type> <data_type_description>short text</data_type_description> <has_linked_text>0</has_linked_text> <has_linked_extra>0</has_linked_extra> </attribute>
In the above example you will find these elements:
- field_name - The unique name used to access this attribute.
- group_name - The name of the data group this field belongs to.
- title - The label we place on the screen when displaying this attribute to users.
- data_type - The database data type we are using to store this attribute.
- data_type_description - More infomation about the data type.
- has_linked_text - Some numeric fields have a text representation. We store the numeric value but if there is linked text, we use a lookup table to display that text instead of the number to the user.
- has_linked_extra - Some numeric fields have an extra text value that goes along with the number. We use a lookup table to display that text in addition to the number.
Hopefully, this helps you understand the data attributes you find in the data feed API.