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A genealogy of the scalable subject: Measuring health in the Cornell Study of Occupational Retirement (1950–60)

Moreira, Tiago

A genealogy of the scalable subject: Measuring health in the Cornell Study of Occupational Retirement (1950–60) Thumbnail


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Abstract

Increased use of scales in data-driven consumer digital platforms and the management of organisations has led to greater interest in understanding social and psychological measurement expertise and techniques as historically constituted ‘technologies of power’ in the making of what Stark has labelled the ‘scalable subject’. Taking a genealogical approach, and drawing on published and archival data, this article focuses on self-rated health, a scale widely used in population censuses, national health surveys, patient-reported outcome measurement tools, and a variety of digital apps. The article suggests that the first methodological articulation of self-rated health by the investigators of the Cornell Study of Occupational Retirement (1951–58) provides a window into the key epistemic, institutional, and cultural uncertainties about psychological and social measurement, processes of adjustment to ‘old age’, and the capacity of individuals to value their own health. I propose that these uncertainties have become incorporated into extant and operational measurements of health.

Citation

Moreira, T. (2023). A genealogy of the scalable subject: Measuring health in the Cornell Study of Occupational Retirement (1950–60). History of the Human Sciences, 36(2), 128-153. https://doi.org/10.1177/09526951221113438

Journal Article Type Article
Online Publication Date Sep 27, 2022
Publication Date 2023-04
Deposit Date Oct 12, 2022
Publicly Available Date May 23, 2023
Journal History of the Human Sciences
Print ISSN 0952-6951
Electronic ISSN 1461-720X
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
Volume 36
Issue 2
Pages 128-153
DOI https://doi.org/10.1177/09526951221113438
Public URL https://durham-repository.worktribe.com/output/1189288

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This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
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