Answer:
culturally biased
Explanation:
culturally biased refers to an assumption that a certain phenomenon from our culture can be equally observed on the same level by other culture.
Let's take a look at this question:
<em>National Collegiate Athletic Association (NCAA) basketball championship start?"</em>
There are two problems with this question:
- To answer this, you need to be familiar with basketball culture.
- Even if you are familiar with basketball culture, someone from outside united states is most likely wouldn't be familiar with the term that is used by Americans.
Because of these reasons, using that question to measure intelligence indicates that Dr. Ambrosia might be having a cultural bias since dr Ambrose assume that everyone from other culture would just understand the term from Dr. ambrose's culture.
She is likely exhibiting ethnocentrism. This is being
defined as a way of showing judgement towards to other cultures based on their
own standards that they are accustomed of or in their own culture. The American
likely acted that way after seeing crickets to be eaten by locals because it is
not normal or a tradition for their culture to eat bugs or even cover them with chocolates as
they eat it.
Answer:
Medicare
Explanation:
Medicare is the federal health insurance program for: People who are 65 or older. Certain younger people with disabilities.
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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