Sacrifice of Values to Please Authority in Shakespeares...

Sacrifice of Values to Please Authority in Shakespeares Hamlet It seems that it is human nature to want to please others, but compromising ones values in order to do so can result in people getting hurt emotionally or physically. In William Shakespeares Hamlet, the desire to please those in authority overweighs the judgment of many characters. These characters are more interested in pleasing those in power than doing what is in their best interest. This is seen in Polonious eager attempt to use Ophelia, in Rosencrantz and Guildensterns being coerced into spying on a good friend, and finally in Laertes all too easy manipulation by Claudius to take revenge on his fathers death. In all these instances, the characters put their†¦show more content†¦Polonious uses his daughter almost like one would use a horse, with his loosing of her and does so just to try and get on the good side of Claudius and Gertrude. Rosencrantz and Guildenstern also looked to the King and Queen for approval. They didnt resort to the use of a daughter, but on the use of a close friendship. They used their bond with Hamlet to get information that the Court wanted. Claudius and Gertrude were very convincing in telling Rosencrantz and Guildenstern of how Hamlet was suffering, telling them that [Their] visitation shall receive such thanks as fits a kings remembrance (P.34). At first Rosencrantz and Guildenstern werent too keen on selling out their friend. But instead of standing up to the King and Queen, Guildenstern told them that we both obey and here give ourselves to be commanded (P.34). They were more interested in doing what was right in the eyes of the Royal Court than doing what right in their eyes. Rosencrantz and Guildenstern werent just Hamlets friends; they were greeted by Hamlet as his excellent good friends (P.40). Hamlet viewed them in the same regard as he viewed Horatio, one who Hamlet stayed with an d loved all through the play. Rosencrantz and Guildenstern didnt seem to care, and used this trust and love by their friend to please Claudius and Gertrude. This neglect of heart by these two characters was not something that they wanted to do for themselves, but something that they didShow MoreRelatedWilliam Shakespeare s Hamlet, Prince Of Denmark953 Words   |  4 PagesIn William Shakespeare’s Hamlet, Prince of Denmark, Polonius is shown to be the bumbling counselor to King Claudius. He is considered a high class-citizen although he is below Hamlet and the king. When examined from a Marxist perspective, Polonius is often treated poorly by Hamlet because he is not in the same social rank as the prince; however, Polonius values his position as counselor highly and goes through great measures to assure that he keeps his job because it guarantees him a place in upperRead MoreSAT Top 30 Essay Evidence18536 Words   |  75 Pages.............................................. .................................... 25 Muhammad Ali (â€Å"The Greatest† boxer of all time) .................................................................................. 27 Fiction and Literature: Hamlet by William Shakespeare (â€Å"To be? Or not to be?†) ...................................................................... 29 Harry Potter by J.K. Rowling (Witches, Wizards, and Muggles!) .......................................................... 31

Adidas Free Essays

Porter’s five forces for Adidas 1. Analysis framework and market structure * High barrier to enter this field. The sports shoes industry of the USA are made by those brand company, these brand company will have advantage with advertisement, import, sales network and product development. We will write a custom essay sample on Adidas or any similar topic only for you Order Now But most importantly, they set up an obstruct for other companies with their product character and loyalty of the customer. * Other shoes are not suitable for sports, so there is no substitute for sports shoes company. Customer, they really care about the price of the sportswear, and more sensitive for fashion, but there is no negative effect for the profit rate of the company. As we can see, if less profit, the product at development country will be less to compensate for the loss. And on the other hand, most companies are success with the difference of their product which will make customer to get to know their product and prevent to associate with other companies. Supplier power. Almost the sports shoes companies are equal with their input, especially after the the outsourcing trend which is launch by Nike, over 90% of the product are made in those developing countries such as China and Vietnam, who has lower salary and high labor force. The marketing strategy of Adidas This is t wo of the strategy for Adidas, and the other is research. They became one of the greatest sports company in 1997 after acquired the Salomen group, these two companies will help each other to coordinate with the product and region, because Salomen group are very strong in Japan and North America, it will help Adidas to increase the market share in USA. And another important thing is they always use sports star as their spokesperson such as David Beckham and Kobe Bryant. They also become the sponsor of many sports events such as UEFA championsleague and Olympic Games. The other core strategy is research, Adidas has established a new group for technical innovation to make at least one big innovation for customer every year. They introduced their Mass customization system to public in 2003, this system will custom the different shoes for different customer with different foot condition and personal preference. This are make Adidas to become the leader of the area. How to cite Adidas, Essay examples

Analysis of Inequality in Riverlands Free Sample for Students

Question: Analysis the Inequality in Riverland. Answer: Introduction Several factors contribute to health inequalities in different regions in Australia. Each region has certain unique factors that contribute to the quality of health provided in that specific region. The quality differs in terms of the gender and the age. Some of the factors that affect the quality of healthcare in Riverlands include socioeconomic disadvantage, education, and occupation. Socioeconomic disadvantage is rated by the low income, high unemployment and low academic attainment (Uphoff Wright, 2013).Health inequalities in relation to the education level are measured by the level of education attained by the different individuals. These levels include a bachelor degree, a diploma, and lack of post-school qualification. The final factor is occupation, which involved the analysis of those with white collar jobs and those with blue-collar jobs (Peres, Sabbah Antunes 2015). This paper will be analyzing the findings on health inequalities within Riverlands Socioeconomic Factors The socioeconomic disadvantage has been associated with high mortality rates because of ill health. This is because they are less likely to prevent a disease or detect it in its early stages (Mithen Kavanagh, 2015). The disadvantaged groups are also more likely to engage in risky behaviors that may affect their health. This applies for both females and males of different ages. The inequalities in socioeconomic health are looked at in 4 stages, children and infants from 0-14 years, young adults from 15-24 years, middle age working adults between 25-64 and the older people from age 65 and older. With the use of the geographic measure known as the Index of Relative Socioeconomic Disadvantage index (IRSD), the data is categorized based on the socioeconomic characteristics. For people aged between 0-14 years, the males from these disadvantaged backgrounds were found to have higher rates of asthma and bronchitis. For both male and female infants, there were lower chances of having been br eastfed. In terms of the duration of breastfeeding, the females were more disadvantaged as they were breastfed for less than duration of 12 months. This group of people was also likely to consult a doctor but less likely to seek medical help from a specialist such as a dentist. This was higher for females compared to the males. All these factors contribute to a difference in the kind of healthcare received by this age group in the socioeconomically disadvantaged areas. Individuals between the ages of 15-24 years were also assessed to show the existing differences in healthcare. Females in this age from disadvantaged areas have a higher rate of bronchitis. People of this age group from disadvantaged groups are more likely to engage in risky behaviors that may affect their health. Females have a high likelihood9of risking their health through alcohol consumption. The males in this group had higher smoking rates although the difference was not significant when compared to the rates in females. Both sexes had the likelihood of being obese and experiencing food insecurity are some of the major that contribute to health inequalities in Riverlands. Persons between ages 25-64 years from disadvantaged socioeconomic areas rate their health as being poor and have reported several instances of being ill compared to the people who are from areas that are least disadvantaged. Most males from this age group reported missing work because of an illness especially illnesses like arthritis compared to the females. Diabetes was also common among the individuals in this group (Gonzlez Stocks, 2017). Risky behaviors are also a contributing factor in this age in the disadvantaged areas with alcohol use, smoking, and lack of physical activity being among these factors. The males in this age were more likely to drink higher levels of alcohol compared to the women. Hypertension was also a major occurrence among this group of people. For those aged from 65 years and above, they reported a number of long-term illnesses compared to those in the least disadvantaged areas. Therefore, poor individuals in Riverlands are more likely to experience health inequality because of the high cost of medicine and hospital accommodation (Gunasekara, Carter McKenzie, 2013). Education Factors The next factor is health inequalities from the perspective of education. This determines an individuals health through the occupational opportunities that may result from their level of education and the income potential that accompanies their occupation (Turrell Giles-Corti, 2013). The knowledge and skills one gains from education can also help individuals in maintaining and improving their health. Studies in Australia have indicated that those who are less educated have poorer health. Higher education levels have been associated with lower mortality rates and lower rates of self-reported illnesses (Zhang Oldenburg, 2014). The risk behaviors among people with low education include; smoking, high blood pressure, obesity, and insufficient physical activity are the major factors are crucial in determining an individuals health, which are less likely to be experienced among the educated people because of their knowledge and understanding of the risks involved in engaging in such beha viors (Badland, Aye Butterworth, 2014). Therefore, the level of education between individuals and sections in the society are some of the major factors that contribute to the increased cases of health inequalities in Riverlands Individuals between the ages of 25-64 years with low educational qualifications had poor health ratings. In both males and females, those with low educational qualifications reported more cases of bronchitis and arthritis. Diabetes was more prevalent among the females who lacked post-school qualifications (Mithen Kavanagh, 2015). The number of males who engaged in risky alcohol intake was higher compared to the number of females in this particular group. Both males and females of lower educational qualifications reported higher rates of smoking. Health risks such as obesity were also higher among this group with it being more prominent among the males than the females. In this case, those women in the ages of 50 and 64 have not had a mammogram. They are also less likely to have a pap smear. These two health processes are very important for early detection of cancer and therefore, lack of these exposes the women with low educational qualifications to diseases like cancer (Meier Bren nan, 2016). In this case, the findings indicate that poor education can deny one an opportunity of accessing healthcare. The individuals who are 65 years of age and above with low educational qualifications are also more likely to have adverse health problems compared to those with higher educational qualifications. The number of males with bronchitis was higher compared to the males who had a bachelor degree or higher. Those with higher educational qualifications at this age are also less likely to engage in behaviors that put their health at risks such as smoking and drinking. Therefore, older individuals in Riverlands are more exposed to health inequalities based on their level of education, which hinders their communication (Uphoff Wright, 2013). Occupation Factors The third factor to be considered in determining the inequality in healthcare is the individuals occupation. An individuals occupation is a great indicator of an individuals socioeconomic status, which also determines the healthcare of the individual (Batterham Osborne, 2016) the impacts of an individuals occupation on their health can be direct or indirect. The direct impact is through the exposure to hazards at work and the indirect impact is the association of the occupation with a particular income level and living standards (Durand Elwyn, 2014). People who work in low-status occupations have a lower rating of their health compared to individuals in higher status occupations. The number of males that do manual labor who report chronic illnesses is higher compared to the number of females who do manual labor. Females who are in the low-status occupations were however reported lower incidences of breast cancer. Males in blue-collar occupations also have higher risks of occupational injuries (Gibney Leder, 2017). Both the males and females in blue-collar occupations are likely to have health-related issues from smoking. They are also less likely to participate in physical activities and as a result, they develop health complications. Males with lower occupations are more likely to drink high levels of alcohol compared to females in the same occupation (Gonzlez-Chica Stocks, 2017). Most of the individuals in the low-status jobs also have higher intakes of cholesterol with the main source of energy being derived from fats and su gars (Mather Korda, 2014). Therefore, the nature of work between individuals can hinder one from accessing healthcare based on the expenses that are associated with healthcare provision. Those between age 25-64 and working in blue collar jobs reported a lower rating in their health and reported more illnesses compared to those in the white collar jobs. In both females and males, those in blue-collar jobs reported higher rates of arthritis. The number of males in the blue-collar jobs with bronchitis was higher compared to the females. Both males and females are likely to engage in risky behaviors that may harm their health. Risky behaviors such as risky alcohol intake were reported to be higher in males compared to the females (Peres, Sabbah Antunes, 2015). Both the male and the female had higher health risks from smoking. However, males with blue-collar occupations reported fewer cases of hypertension compared to those in the white-collar jobs. Those in the blue-collar jobs are likely to consult a doctor as compared to those with white-collar jobs. Blue-collar male workers were less likely to consult specialists and dentists compared to the white-collar male workers . Women from age 50-64 in blue-collar occupations are more likely to have never had a mammogram or a pap smear (Turrell Giles-Corti, 2013). Individuals in blue-collar occupations with a lower status or level of skills had poorer health and engaged in risky behaviors compared to the individuals in the white collar occupations. In this case, the occupation of individuals and the level of income are some of the contributing factors that lead to health disparities in Riverlands (Zhang Oldenburg, 2014). In conclusion, the above analysis has indicated the factors that contribute to disparities in healthcare in River lands. Socioeconomic disadvantage, education, and occupation are some of the contributing factors to health care inequalities. These factors affect the kind of healthcare the individuals seek depending on their financial capabilities. These factors also determine whether these individuals engage in risky health behaviors. Therefore, in dealing with inequality in healthcare, it is important to put into the consideration the underlying factors that affect the health-related behaviors of individuals. These factors are important in understanding the inequality in healthcare by getting a better view of the contributing factors. References Badland, H., Aye, L., Butterworth, I (2014). Urban liveability: emerging lessons from Australia for exploring the potential for indicators to measure the social determinants of health. Social science medicine, 111, 64-73. Batterham, R. W., Osborne, R. H. (2016). Health literacy: applying current concepts to improve health services and reduce health inequalities. Public health, 132, 3-12. Durand, M. A., Elwyn, G. (2014). Do interventions designed to support shared decision-making reduce health inequalities? A systematic review and meta-analysis. PloS one, 9(4), e94670. Falster, K., Banks, Jorm, L. (2016). Inequalities in pediatric avoidable hospitalizations between Aboriginal and non-Aboriginal children in Australia: a population data linkage study. BMC pediatrics, 16(1), 169. Gibney, K. B., Leder, K. (2017). Sociodemographic and geographical inequalities in notifiable infectious diseases in Australia: a retrospective analysis of 21 years of national disease surveillance data. The Lancet Infectious Diseases, 17(1), 86-97. Gonzlez-Chica, D. A., Stocks, N. (2017). Lower educational level and unemployment increase the impact of cardiometabolic conditions on the quality of life: results of a population-based study in South Australia. Quality of Life Research, 1-10. Gunasekara, F. I., Carter, K., McKenzie, S. (2013). Income?related health inequalities in working age men and women in Australia and New Zealand. Australian and New Zealand journal of public health, 37(3), 211-217. Mather, T., Korda, R. J. (2014). Variation in health inequalities according to measures of socioeconomic status and age. Australian and New Zealand journal of public health, 38(5), 436-440. Meier, P. Brennan, A. (2016). Estimated effects of different alcohol taxation and price policies on health inequalities: a mathematical modelling study. PLoS Med, 13(2), e1001963. Mithen, J., Kavanagh, A. M. (2015). Inequalities in social capital and health between people with and without disabilities. Social Science Medicine, 126, 26-35. Uphoff, E. P., Wright, J. (2013). A systematic review of the relationships between social capital and socioeconomic inequalities in health: a contribution to understanding the psychosocial pathway of health inequalities. International Journal for Equity in Health, 12(1), 54. Peres, M. A., Sabbah, W., Antunes, J. L., (2015). Income?related inequalities in inadequate dentition over time in Australia, Brazil and USA adults. Community dentistry and oral epidemiology, 43(3), 217-225. Turrell, G., Giles-Corti, B. (2013). Can the built environment reduce health inequalities? A study of neighborhood socioeconomic disadvantage and walking for transport. Health place, 19, 89-98. Zhang, J., Oldenburg, B. F. (2014). Socioeconomic inequalities in utilization of preventive health services in relation to cardiovascular disease and diabetes. Journal of Behavioral Health, 3(2), 87-94.