Industrialization has the potential to lead to cultural clashes and discrimination because it separates two very distinct forms of labor: factory and farm. This leads to price differentials and the ability of those in charge of the factories to only choose certain types (i.e. races) of people for the jobs available.
The right answer is <u>B</u> hope it helps :)
The correct awncer is D. The railroad expanded to Texas.
Answer:
The answer is below
Explanation:
Labeling theory of crime and deviance is a form of social theory that concluded that people behave defiantly according to the label at which they were given.
For example, if someone is called a by a popular thug name, such a person would start behaving like that particular thug.
There are criticisms of the labeling theory of crime and deviance, some of which are:
1. It does not clarify the main deviance or the reason people take offense in the first place which arises before they have been labeled
2. It suggests that deviants have no knowledge of their offense until they are labeled, but most know they are disobeying institutional standards
3. It does not clarify the source of labels. For example common practices and traditions system or capitalism principles.
In the context End-To-End Measure for Text's crucial to evaluate the performance of text recognition and text line detection engines before comparing systems and configurations. Both jobs have established metrics that can be used independently.
To evaluate the effectiveness of a system that combines text line detection with text recognition, however, there is no sophisticated system in place.
A well-known methodology that is occasionally applied in this context is the F-measure on word level. However, it can produce misleading findings because it does not account for the alignment of the hypothesis and the ground truth text. There is a considerable demand for such a metric since users of automatic information retrieval pipelines in the context of text recognition are primarily interested in the end-to-end performance of a given system.
As a result, we offer a metric to assess a text recognition system's overall quality. The widely accepted character error rate serves as the foundation for this measurement and is only applicable to aligned hypothesis and ground truth texts in its original form. The suggested measure is adaptable in that it may be set up to punish various reading orders between the hypothesis and the actual data as well as take into consideration the text lines' geometric positions. It also has the ability to disregard the over- and under-segmentation of text lines. It is possible to obtain a measure that best suits its own demands using these factors.
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