Answer: self fulfilling Property
Explanation:
Self-fulfilling prophecy refers to a socio-psychological phenomenon of someone expecting or prophesing something, and this prediction or expectation comes true simply because one believes it will and their resulting behaviors align to fulfil those beliefs. Hence, peoples' beliefs influence their actions. In the case of Rob, his self confidence is as a result of the self fulfillment that he fills for himself
Stay in a under the radar mode, about life. Do not regester, with any government agency.
When applying the concept of cultural relativism in this instance, we could conclude that:
- The woman has the right to practice her cultural beliefs and for that reason, she should not be prevented from obeying her culture.
<h3>What is cultural relativism?</h3>
Cultural relativism is the concept that people's cultures are to be understood from their own perspective. This means that the woman should not be discouraged from burning herself. Even though this might sound unreasonable to people from other cultural backgrounds, cultural relativism suggests that this is right.
So, for the woman above, she has the right to abide by her culture as cultural relativism proposes, and ideally, she should not be persuaded to do otherwise.
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Standardization of data elements accomplishes d) all of these.
<h3>
What is data standardization?</h3>
- The process of converting data to a common format to enable users to process and analyze it is termed as Data standardization.
- The sources can include data warehouses, lakes, cloud storage, and databases, from which the data are utilized.
- However, data from disparate sources can be problematic if it isn’t uniform, leading to difficulties down the line.
- Data standardization is very important for many reasons. Mainly, it helps you establish clear, consistently defined elements and attributes, providing a comprehensive catalog of your data. Whatever insights you’re trying to get or problems you’re attempting to solve, properly understanding your data is a crucial starting point.
- Getting there involves converting that data into a uniform format, with logical and consistent definitions. By these definitions, metadata is defined as the labels that identify the what, how, why, who, when, and where of your data is the basis of your data standardization process.
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