Aging, Vulnerability and Questions of Care in the Time of COVID-19
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».