Summary Reflection Assignment-Postal Codes

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Feb 20, 2024

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Summary Reflection Assignment (10%) Large language models (e.g., Bing and ChatGPT) have been described as “ mak[ing] for “nifty” demonstrations, it’s “still not reliable, still doesn’t understand the physical world, still doesn’t understand the psychological world and still hallucinates” (Manjoo, 2022) and “competent but empty” (Washington University, n.d.). In this assignment, you will use a summary generated by artificial intelligence and answer questions that examine the difference between the original text and the artificially generated summary. Due Date and Submission:  Submit your Summary Reflection Assignment on October 22 in Week 7 at 11:59 p.m.  Your submission must adhere to the rules of Academic Integrity.  All assignments must be submitted through D2L. Purpose: The purpose of this assignment is to identify the elements of an effective summary and understand the limitations of using Large Language Models (e.g., Bing and ChatGPT) in summary writing. Learning Outcomes and Objectives: CLO 1 Apply a set of strategies to create short pieces of organized, coherent, clear, and concise writing with an understanding of one’s audience and purpose. o Complete stages of the writing process (e.g., prewriting, drafting, revising, editing, publishing, and reflection). CLO 2 Apply critical reading strategies to improve comprehension of text. o Summarize and/ or paraphrase ideas. CLO 3 Apply basic understanding of critical thinking skills to engage with a topic o Respond to a text with valid support by applying critical thinking strategies and reflective practices (e.g., make text-to self, text-to-text, and text-to-world connections; ask questions; interpret information; reach logical conclusions, etc.).

Instructions : Reread the article that you used for your reading skills assignment. These instructions are for “A Matter of Postal Codes,” written by Ken MacQueen (p. 381 of your textbook). Then answer the questions below; in total you should write at least 250 words for this assignment. Please use examples from the original article and the artificially generated summary in your responses. Please use the following text to answer questions 1-3: In Ken MacQueen’s 2013 article, “Where you live may decide how soon you die: Groundbreaking study looks at life and death by neighbourhood” he reports on research done on disparities in healthcare: What if you could see the future? What if you could see a young pregnant woman walking down Barton Street in Hamilton’s depressed north end and know her unborn child had already lost life’s lottery; that his or her fate was predetermined by Mom’s postal code? You would know that this mother—in this neighbourhood, and in the bottom 20 per cent of the city’s income earners—is six times less likely than the wealthiest Hamiltonian to seek first-trimester prenatal care, and more than six times as likely to be a teenager or to have dropped out of school. You’d know the chances of her baby being born underweight and needing weeks in neonatal intensive care would also be higher. And the child’s life would get no easier thereafter. If its parents lived an average life in this neighbourhood, they would die an average Third World death—at 65.5 years of age. If they lived five or six kilometres away, say, on Rice Avenue in the city’s leafy suburbs, they would live beyond 86 years. (MacQueen, 2013). ChatGPT summarizes this passage as follows: The text discusses the stark disparities in the lives of residents in Hamilton's north end, particularly for a young pregnant woman and her unborn child. It highlights how one's future prospects can be influenced by their postal code. People in this neighborhood, especially those in the bottom 20 percent of income earners, are less likely to seek early prenatal care, more likely to be teenagers or school dropouts, and have a higher chance of giving birth to underweight babies needing neonatal care. Additionally, life expectancy in this area is significantly lower, around 65.5 years, in contrast to those living just a few kilometers away in more affluent suburbs, where people live beyond 86 years. (OpenAI, 2023). QUESTIONS:

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