Image | ![]() |
EAN-13 | 9780300056693 ![]() |
Product Name | Domination And The Arts Of Resistance: Hidden Transcripts |
Language | English |
Category | Book / Magazine / Publication |
Short Description | Height:9.21 inches / Length:0.75 inches / Weight:0.95 pounds / Width:6.02 inches |
Amazon.com | ![]() |
SKU | 9780300056693 |
Price New | 15.01 US Dollars (curriencies) |
Price Used | 12.68 US Dollars (curriencies) |
Width | 6.12 inches (convert) |
Height | 0.77 inches (convert) |
Length | 9.34 inches (convert) |
Weight | 15.2 ounces (convert) |
Author | James C. Scott |
Page Count | 251 |
Binding | Paperback |
Published | 07/29/1992 |
Features | Yale University Press |
Long Description | "Play fool, to catch wise."—proverb of Jamaican slaves Confrontations between the powerless and powerful are laden with deception—the powerless feign deference and the powerful subtly assert their mastery. Peasants, serfs, untouchables, slaves, laborers, and prisoners are not free to speak their minds in the presence of power. These subordinate groups instead create a secret discourse that represents a critique of power spoken behind the backs of the dominant. At the same time, the powerful also develop a private dialogue about practices and goals of their rule that cannot be openly avowed. In this book, renowned social scientist James C. Scott offers a penetrating discussion both of the public roles played by the powerful and powerless and the mocking, vengeful tone they display off stage—what he terms their public and hidden transcripts. Using examples from the literature, history, and politics of cultures around the world, Scott examines the many guises this interaction has taken throughout history and the tensions and contradictions it reflects. Scott describes the ideological resistance of subordinate groups—their gossip, folktales, songs, jokes, and theater—their use of anonymity and ambiguity. He also analyzes how ruling elites attempt to convey an impression of hegemony through such devices as parades, state ceremony, and rituals of subordination and apology. Finally, he identifies—with quotations that range from the recollections of American slaves to those of Russian citizens during the beginnings of Gorbachev's glasnost campaign—the political electricity generated among oppressed groups when, for the first time, the hidden transcript is spoken directly and publicly in the face of power. His landmark work will revise our understanding of subordination, resistance, hegemony, folk culture, and the ideas behind revolt. |
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Article of interest
Here we will demonstrate the most basic example of importing the CSV data files that we produce on this site into your MySQL database.
For information about various databases you can use and how to import CSV files into them, please view the overview article "Importing CSV data into your database".
For this example, we are going to import the product data CSV file out of the sample_ean_data.zip but this same process will work on the full data download file. We will also be executing the commands in the MySQL Workbench but you can also use the command line tool with the same commands if you like.
First, start by creating a blank table. Use the table layout described in the read_me file for the most up-to-date table layout. It is suggested that you not use any indexing at this point. You can add indexes later. It is most likely that you will have your own tables where you want to store your data so importing the CSV files can be done into temporary tables and then later copied over to your tables. Leaving off the indexes and constraints on these import tables reduces the risk of import errors. Here is an example:
create table ean_product
(
EAN13 varchar(13),
UPCA varchar(12),
UPCE varchar(8),
SKU varchar(200),
PriceNew numeric(15,2),
PriceUsed numeric(15,2),
PriceDate date,
company varchar(13),
product varchar(100),
description varchar(100),
category int,
url varchar(500),
created datetime,
modified datetime
);
Next we perform the import using the LOAD DATA INFILE command. The path to the file depends on where you saved the data and which operating system you are on. For Windows users you might find your file on the C: drive and Linux users may find your date in your home (~) folder. This example shows a Linux import. Only the path would be different between the operating systems.
LOAD DATA LOCAL
INFILE '~/sample_ean_data/sample_ean_product.csv'
INTO TABLE ean_product
FIELDS TERMINATED BY ',' ENCLOSED BY '"' ESCAPED BY '\\'
LINES TERMINATED BY '\r\n'
IGNORE 1 LINES;
Finally, lets look at the data that we just imported.
SELECT * FROM EAN_PRODUCT;
You may have seen some warnings after the import command. If you are concerned about these warnings, examine the data. It could be that some data has grown beyond the size specified in the read_me file. If you are worried, make the fields larger and try the process again after deleting all of the data out of the table.