Aging, Vulnerability and Questions of Care in the Time of COVID-19
Bibliographic record
Abstract
Click to increase image sizeClick to decrease image size Correction StatementThis article has been corrected with minor changes. These changes do not impact the academic content of the article.Notes1. Graziano Onder, Giovanni Rezza, and Silvio Brusaferro, “Case-Fatality and Characteristics of Patients Dying in Relation to COVID-19 in Italy,” Journal of the American Medical Association (2020), Last modified April 16, 2020. doi:10.1001/jama.2020.46832. Centers for Disease Control and Prevention, “Coronavirus (COVID-19),” https://www.cdc.gov/coronavirus/2019-ncov/index.html.3. Fred Schulte et al., “Millions of Older Americans Live in Counties with no ICU Beds as Pandemic Intensifies,” Kaiser Health News, March 20, 2020, https://khn.org/news/as-coronavirus-spreads-widely-millions-of-older-americans-live-in-counties-with-no-icu-beds/.4. For the purposes of this article, however, we consider older persons as any individual who is 60 years of age or older, because this is the age limit used in COVID-19 risk assessments and case-fatality reports.5. Potentially this could include Trump himself, who is older than 70.6. United Nations, Department of Economic and Social Affairs, Population Division, “World Population Ageing 2019: Highlights” (ST/ESA/SER.A/430), 2019, https://www.un.org/en/development/desa/population/publications/pdf/ageing/WorldPopulationAgeing2019-Highlights.pdf.7. Margaret Clark and Barbara Gallatin Anderson, Culture and Aging: An Anthropological Study of Older Americans (Springfield, IL: Charles C Thomas, 1967); Sarah Lamb, Successful Aging as a Contemporary Obsession: Global Perspectives (New Brunswick, NJ: Rutgers University Press, 2017).8. Lawrence Cohen, No Aging in India: Alzheimer’s, the Bad Family, and Other Modern Things (Berkeley: University of California Press, 1994); Margaret Lock, Encounters with Aging: Mythologies of Menopause in Japan and North America (Berkeley: University of California Press, 1993).9. Arthur Kleinman, The Soul of Care: The Moral Education of a Husband and a Doctor (Toronto: Penguin Random House, 2019).10. Nicole Chavez, Amanda Watts, and Janine Mack, “Here’s What We Know about the 100 People Who’ve Died in the US from Coronavirus,” CNN, March 18, 2020, https://www.cnn.com/2020/03/17/health/coronavirus-united-states-deaths/index.html.11. Marcia C. Inhorn, The New Arab Man: Emergent Masculinities, Technologies, and Islam in the Middle East (Princeton, NJ: Princeton University Press, 2012); Marcia Inhorn, America’s Arab Refugees: Vulnerability and Health on the Margins (Stanford, CA: Stanford University Press, 2018).12. Worldometer, “Reported Cases and Deaths by Country, Territory, or Conveyance” (table), March 28, 2020. https://www.worldometers.info/coronavirus/#countries. 13. Lavie Mutanganshuro, “Govt Begins Distribution of Essential Goods to Citizens Affected by COVID-19 Lockdown,” The New Times, March 28, 2020. https://www.newtimes.co.rw/news/govt-begins-distribution-essential-goods-citizens-affected-covid-19-lockdown.Additional informationNotes on contributorsAalyia Feroz Ali Sadruddin Aalyia Feroz Ali Sadruddin is a Ph.D. candidate in the Department of Anthropology at Yale University. Trained in medical and political anthropology, Sadruddin focuses her research on demographic transitions, processes of reconciliation and political culture in postconflict Africa. In July 2020, Sadruddin will start a postdoctoral fellowship at the Watson Institute for International and Public Affairs at Brown University.Marcia C. Inhorn Marcia C. Inhorn is the William K. Lanman Jr. Professor of Anthropology and International Affairs at Yale University, where she serves as chair of the Council on Middle East Studies. A specialist on Middle Eastern gender and health issues, Inhorn has conducted research on the social impact of infertility and assisted reproductive technologies in Egypt, Lebanon, the United Arab Emirates and Arab America. She is the author of six award-winning books, including her most recent, America’s Arab Refugees: Vulnerability and Health on the Margins (Stanford University Press, 2018), which focuses on Middle Eastern conflict and refugee health.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".