ENG 3010 Trauma and Recovery: Medicine and Literature Week 6 Write a brief paper of 1-2 pages (500-600 words) referring to specific poems or elements within: The poems and interviews describe the same

ENG 3010 Trauma and Recovery: Medicine and Literature Week 6

Write a brief paper of 1-2 pages (500-600 words) referring to specific poems or elements within:

  1. The poems and interviews describe the same experiences. What makes each form effective?
  2. How do trauma and recovery develop in the poems? How does this intersect the dimensions of soldier, citizen, and human being?
  3. As I write, John Musgrave is in Vietnam for the first time since the war. He will be able to talk with former North Vietnamese Army regulars who fought against his unit near Khe Sanh. What three questions would you ask?

Short Paper 3: Compose a brief essay referring to specific poems or elements: 

  • The poems and interviews describe the same experiences.  What makes each form effective? 
  • How do  trauma and recovery develop in the poems?  How does this intersect the dimensions of soldier, citizen, and human being?
  • John Musgrave revisited Vietnam in 2019 for the first time since the war. He was able to talk to some former North Vietnamese Army regulars. What three questions would you ask them? 

WEEK 6 – War and Back?  Readings, Videos & Podcasts – intro video (23:22)(https://youtu.be/6GX_uHKykO0)


  • Mayhew, Emily (2014).  “Nurses.” Wounded: A New History of the Western Front in World War I. Oxford: Oxford University Press.  82-103.
  • Note: The 11th hour of the 11th day of the 11th month of 2018 (French time) is the 100th Anniversary of the Armistice ending the Great War. 


  • John Musgrave (2003). Notes to the Man Who Shot Me:  Vietnam War Poems. Coal City Review #18. [Note: Harsh language, including terms not allowed on radio.]
  • John Musgrave – Interview 1:  Wounded: Ambush to triage (5:25) – (PBS (2018): The Vietnam War) https://www.youtube.com/watch?v=QZ0zf4voIao   
  • John Musgrave – Interview 2: Postwar (4:06) https://www.kansascity.com/news/local/article186839853.html  – no longer available 
  • Dan Musgrave (2020) Secondhand. New Letters UMKC. Summer 2020. 33-40.  ( John’s son on growing up and slowly learning about his father’s war and trauma )https://www.newletters.org/secondhand-by-dan-musgrave/   [use + to increase font size, click mouse on page & move cursor to move page up or down] 
  • HAMMR Productions (2013). Level Black – PTSD and the War at Home. (Staff Sgt. Billy Caviness) (8:40)   https://www.youtube.com/watch?v=1YbkZ8EpjQc   
  • Moral and Spiritual Injury: Refugees, Story, and Resilience
  • Listen to:  Poet Ocean Vuong sifts through the aftershock of grief in ‘Time Is a Mother’ : NPR (37 minutes) Fresh Air.  April 5, 2022.  (the voice has a presence not captured in a transcript). 
  • TED Talks on Refugees and Resilience. (2015). Selected by UNHCR (The UN Refugee Agency).  http://www.unhcr.org/innovation/15-ted-talks-on-refugee-resilience/    
  • To do: Listen to 2 stories by refugees among the 15 TED Talks.  In two columns on a sheet of paper for each note:  Column A: Sources of trauma. Column B: Sources of resilience (hold onto)
  • Acquaye HE (2017).  PTSD, optimism, religious commitment, and growth as post-trauma trajectories: A structural equation modeling of former refugees. The Professional Counselor 7(4):330-348.  (see note below before reading)

BEFORE reading the Acquaye article, read this: 

  • A structural equation model is a story told with key elements thought to be important.  This story is about growth after trauma, and looks to see what elements might be important and the interaction between them. 
  • This model has five nodes (elements): War, PTSD, Optimism, Religious Commitment and Growth with arrows connecting them (arrow direction shows direction of influence) 
  • Don’t worry about statistical details – read for general concepts and outcomes. (For R-squared = 1.0 would mean the variables perfectly account for all variation in the data; . R-squared = 0.0 would mean they explain nothing (find a different model). With only 5 primary variables, the model reached an R-squared of 40-50% – very good.

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