Social Problems 7

   Prompt: There isn’t one! This week, it’s your turn to guide the discussion. What’s on your mind, given what you’ve learned so far and what problems we have discussed? Is there anything you want to explore that the questions haven’t asked you so far? The floor is yours but remember: Your answer must be written … Read more

medical apartheid 2

   Medical Apartheid: Critical Thinking Questions Set 2 What      did the 1840 Census reveal? Were      the results valid? Why? Why not? What      were the “Black Diseases”? Were      they in fact ‘Black Diseases” Why? Why not? In two      to three paragraphs, explain the history and progression of the Tuskegee Experiment. Some points that should be highlighted … Read more

medical apartheid

Medical Apartheid Set 1 1. Define Iatrophobia. 2. Define Malingering. 3. What form of measurements did doctors use to distinguish intelligence between black and Europeans? 4. Describe the relationship between slaves and physicians.

Discussion Post

Social mobility refers to the ability to move up or down within a class structure. From the below list, which factor do you think is important for someone’s potential to move upward? Why? Race or ethnicity Gender Social class at birth Hard work and education Please respond in a paragraph of at least 5–7 sentences … Read more

Articles one and two

I need to write two paragraphs for each article. I am attaching the two articles on pdf.    ARTICLE 1: What happened to working-class New York? What are the author’s conclusions about which factors have contributed to the shrinking of union power in New York and the financial challenges faced by middle- and lower-income New … Read more

More damn lies and statistics

Article: More damned lies and statistics: How numbers confuse public issues  (Preface, “People Count,” pp. ix-xviii): What does Best mean by the statement “all statistics are products of social activity; the process sociologists call social construction” (p. xiii)? What are the steps that need to be taken to limit bias in how statistics are understood … Read more