The correct answer to this open question is the following.
Although the question is incomplete because it does not include the material from Item A, we can say that yes, labeling and other in-school factors are the main cause of social class differences in educational achievement.
With so many students in school from different social classes, it seems difficult to put a limit on labeling. However, school authorities and teachers should pay closer attention to this issue because it affects children and their decision to continue to attend school. Labeling is also a cause of bullying in educational centers. So we have to consider this as a current issue that must be confronted.
Parents should play a key role in diminishing labeling, setting a good example in the house, and talking to their children about the importance of respect and tolerance.
A lot of the answers to questions like these are on a site called quizlet it’s very helpful and gives detailed answers.
Answer: Inadequate personnel and facilities to handle her treatment.
Explanation:
One of the discouraging factor in the health sector is having inadequate personnel's and facilities for treatment. These has led to the death and deterioration of many health conditions which has been caused by lack of facilities and wrong counselling. These are the problems Kiran faced during her stay at the hospital.
The following are ways the hospital can improve on this complain;
- Employ capable hands, compulsorily specialists for carrying out delicate tasks.
- Employ the best facilities and ensure proper maintenance is carried out regularly to secure they perform optimally.
The answer is subsidy.
Hope this help :)
Answer:
The bigram level
Explanation:
The bigram level of analysis is an example of the N-gram model(as we can also have trigram). It is used in statistical language models to calculate probability and interprete letters in words based on previous occurrence(preceding word). In other words a bigram(less commonly called digram) makes prediction using conditional probabilities that are based on previous word. A tigram would do just same thing but predicts based on two preceding words.
