The fault in his seeds: Lost notes to the case of bias in Samuel George Morton's cranial race science.
The discovery of nearly 180-year-old cranial measurements in the archives of 19th century American physician and naturalist Samuel George Morton can address a lingering debate, begun in the late 20th century by paleontologist and historian of science Stephen Jay Gould, about the unconscious bias all...
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doaj-d6c2ee96b6654f7dba2fa6419d52cd052021-07-02T03:58:51ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852018-10-011610e200700810.1371/journal.pbio.2007008The fault in his seeds: Lost notes to the case of bias in Samuel George Morton's cranial race science.Paul Wolff MitchellThe discovery of nearly 180-year-old cranial measurements in the archives of 19th century American physician and naturalist Samuel George Morton can address a lingering debate, begun in the late 20th century by paleontologist and historian of science Stephen Jay Gould, about the unconscious bias alleged in Morton's comparative data of brain size in human racial groups. Analysis of Morton's lost data and the records of his studies does not support Gould's arguments about Morton's biased data collection. However, historical contextualization of Morton with his scientific peers, especially German anatomist Friedrich Tiedemann, suggests that, while Morton's data may have been unbiased, his cranial race science was not. Tiedemann and Morton independently produced similar data about human brain size in different racial groups but analyzed and interpreted their nearly equivalent results in dramatically different ways: Tiedemann using them to argue for equality and the abolition of slavery, and Morton using them to entrench racial divisions and hierarchy. These differences draw attention to the epistemic limitations of data and the pervasive role of bias within the broader historical, social, and cultural context of science.http://europepmc.org/articles/PMC6171794?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Paul Wolff Mitchell |
spellingShingle |
Paul Wolff Mitchell The fault in his seeds: Lost notes to the case of bias in Samuel George Morton's cranial race science. PLoS Biology |
author_facet |
Paul Wolff Mitchell |
author_sort |
Paul Wolff Mitchell |
title |
The fault in his seeds: Lost notes to the case of bias in Samuel George Morton's cranial race science. |
title_short |
The fault in his seeds: Lost notes to the case of bias in Samuel George Morton's cranial race science. |
title_full |
The fault in his seeds: Lost notes to the case of bias in Samuel George Morton's cranial race science. |
title_fullStr |
The fault in his seeds: Lost notes to the case of bias in Samuel George Morton's cranial race science. |
title_full_unstemmed |
The fault in his seeds: Lost notes to the case of bias in Samuel George Morton's cranial race science. |
title_sort |
fault in his seeds: lost notes to the case of bias in samuel george morton's cranial race science. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS Biology |
issn |
1544-9173 1545-7885 |
publishDate |
2018-10-01 |
description |
The discovery of nearly 180-year-old cranial measurements in the archives of 19th century American physician and naturalist Samuel George Morton can address a lingering debate, begun in the late 20th century by paleontologist and historian of science Stephen Jay Gould, about the unconscious bias alleged in Morton's comparative data of brain size in human racial groups. Analysis of Morton's lost data and the records of his studies does not support Gould's arguments about Morton's biased data collection. However, historical contextualization of Morton with his scientific peers, especially German anatomist Friedrich Tiedemann, suggests that, while Morton's data may have been unbiased, his cranial race science was not. Tiedemann and Morton independently produced similar data about human brain size in different racial groups but analyzed and interpreted their nearly equivalent results in dramatically different ways: Tiedemann using them to argue for equality and the abolition of slavery, and Morton using them to entrench racial divisions and hierarchy. These differences draw attention to the epistemic limitations of data and the pervasive role of bias within the broader historical, social, and cultural context of science. |
url |
http://europepmc.org/articles/PMC6171794?pdf=render |
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