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7.
J Hist Behav Sci ; 60(4): e22321, 2024 Jul.
Article in English | MEDLINE | ID: mdl-39056568

ABSTRACT

Between the years 1925 and 1934, the Social Science Research Council (SSRC) awarded 198 postdoctoral research fellowships to early-career social scientists, among which 29 were awarded to women. This article, which is based on the SSRC directory and Rockefeller institutions' records, examines the professional paths of these female fellows to shed light on the presence of women in the social sciences and to probe the peculiarities of their professional trajectories. The SSRC fellowships represented a significant professional prospect for brilliant young female graduates who were often denied similar opportunities in other fields. Nonetheless, they did not eradicate all gender discrimination that remained prevalent, not only in the vertical sense by preventing women from progressing in the academic hierarchy, but also in the horizontal sense by retaining them in designated spaces (specific disciplines or institutions) that were underrecognized. Ultimately, the analysis of women's professional paths underscores the importance of examining the private or intimate lives of scientists to gain a more in-depth understanding of the social structure of science and its impact on its protagonists.


Subject(s)
Fellowships and Scholarships , Sexism , Social Sciences , Humans , Social Sciences/history , Female , History, 20th Century , Fellowships and Scholarships/history , Sexism/history , Career Mobility
10.
Proc Natl Acad Sci U S A ; 115(16): E3635-E3644, 2018 04 17.
Article in English | MEDLINE | ID: mdl-29615513

ABSTRACT

Word embeddings are a powerful machine-learning framework that represents each English word by a vector. The geometric relationship between these vectors captures meaningful semantic relationships between the corresponding words. In this paper, we develop a framework to demonstrate how the temporal dynamics of the embedding helps to quantify changes in stereotypes and attitudes toward women and ethnic minorities in the 20th and 21st centuries in the United States. We integrate word embeddings trained on 100 y of text data with the US Census to show that changes in the embedding track closely with demographic and occupation shifts over time. The embedding captures societal shifts-e.g., the women's movement in the 1960s and Asian immigration into the United States-and also illuminates how specific adjectives and occupations became more closely associated with certain populations over time. Our framework for temporal analysis of word embedding opens up a fruitful intersection between machine learning and quantitative social science.


Subject(s)
Language/history , Machine Learning , Racism/history , Sexism/history , Stereotyping , Culture , Ethnicity , Female , History, 20th Century , History, 21st Century , Humans , Internet , Male , Minority Groups , Newspapers as Topic , Occupations , Religion , Social Change , United States
13.
Am J Phys Anthropol ; 173(1): 168-178, 2020 09.
Article in English | MEDLINE | ID: mdl-32472637

ABSTRACT

OBJECTIVES: Described as an indiscriminate killer by many chroniclers, the Black Death descended on London during the 14th century. To best understand the pattern of transmission among demographic groups, models should include multiple demographic and health covariates concurrently, something rarely done when examining Black Death, but implemented in this study to identify which demographic groups had a higher susceptibility. Female predisposition to the Black Death was also explored, focusing on whether social inequality added to vulnerability. MATERIALS AND METHODS: Three attritional cemeteries from the Wellcome Osteological Research Database were compared with the Black Death cemetery, East Smithfield. A Cox proportional hazards regression estimated hazards ratios of dying of the Black Death, using transition analysis ages-at-death as the time variable, and sex and frailty as covariates. Additionally, a binomial logistic regression generated odds ratios for age-at-death, sex, and frailty. RESULTS: The Cox model produced a significant hazards ratio for individuals deemed frail. Similarly, the logit model calculated significantly increased odds ratios for frail individuals, and decreased odds for individuals aged 65+. DISCUSSION: The older individuals were not undergoing growth during times of great stress in London pre-dating the Black Death epidemic, which may explain the decreased odds of contracting the Black Death. Further, although women dealt with social inequality, which partially led to the demographic puzzle of the Medieval "missing" women, women's susceptibility to infection by the Black Death was not increased. The phenomenon of the missing women may be due to a combination of factors, including infant and child mortality and preservation.


Subject(s)
Plague , Sexism/history , Women/history , Adolescent , Adult , Aged , Aged, 80 and over , Anthropology, Physical , Cemeteries/history , Female , History, Medieval , Humans , London/epidemiology , Male , Middle Aged , Plague/economics , Plague/history , Plague/mortality , Young Adult
14.
Postgrad Med J ; 96(1138): 480-486, 2020 Aug.
Article in English | MEDLINE | ID: mdl-32471879

ABSTRACT

Gender medicine as a subject began with Bernadine Healy's 1991 article 'The Yentl Syndrome' which showed that women had worse outcomes following heart attacks since their symptoms are different from men. Since then gender-specific clinical research protocols have been progressively included so that evidence for guidelines can be better informed such that women are then less disadvantaged and care become more personalised. This paper traces back the historical roots of gender bias in medicine in Western culture, which is reflected in the pictorial arts and writings of each historical period, beginning with Hippocrates. It describes the changes that have led to attempts at improving the place of women, and the treatments of disease, on an equal footing with men, precipitated by Healy's paper.


Subject(s)
Biomedical Research/history , Healthcare Disparities/history , Men's Health/history , Sexism/history , Women's Health/history , Female , History, 15th Century , History, 16th Century , History, 17th Century , History, 18th Century , History, 19th Century , History, 20th Century , History, 21st Century , History, Ancient , History, Medieval , Humans , Male , Medicine in the Arts
15.
Proc Natl Acad Sci U S A ; 114(10): 2657-2662, 2017 03 07.
Article in English | MEDLINE | ID: mdl-28223527

ABSTRACT

Dramatic events in human prehistory, such as the spread of agriculture to Europe from Anatolia and the late Neolithic/Bronze Age migration from the Pontic-Caspian Steppe, can be investigated using patterns of genetic variation among the people who lived in those times. In particular, studies of differing female and male demographic histories on the basis of ancient genomes can provide information about complexities of social structures and cultural interactions in prehistoric populations. We use a mechanistic admixture model to compare the sex-specifically-inherited X chromosome with the autosomes in 20 early Neolithic and 16 late Neolithic/Bronze Age human remains. Contrary to previous hypotheses suggested by the patrilocality of many agricultural populations, we find no evidence of sex-biased admixture during the migration that spread farming across Europe during the early Neolithic. For later migrations from the Pontic Steppe during the late Neolithic/Bronze Age, however, we estimate a dramatic male bias, with approximately five to 14 migrating males for every migrating female. We find evidence of ongoing, primarily male, migration from the steppe to central Europe over a period of multiple generations, with a level of sex bias that excludes a pulse migration during a single generation. The contrasting patterns of sex-specific migration during these two migrations suggest a view of differing cultural histories in which the Neolithic transition was driven by mass migration of both males and females in roughly equal numbers, perhaps whole families, whereas the later Bronze Age migration and cultural shift were instead driven by male migration, potentially connected to new technology and conquest.


Subject(s)
Chromosomes, Human, X/genetics , History, Ancient , Human Migration/history , Sexism/history , Body Remains , DNA, Mitochondrial/genetics , Europe , Female , Humans , Male
20.
Am J Phys Anthropol ; 170(2): 308-318, 2019 10.
Article in English | MEDLINE | ID: mdl-31369685

ABSTRACT

At the establishment of the American Association of Physical Anthropologists in 1930, women comprised 2.4% of the total membership, and 9.7% a decade later. By 2014 ~70% of members were women. Despite these numbers, there are continued gender disparities within the discipline. While there is considerable interest in promoting equity, there is little documentation of the historical experiences of female anthropologists. This article introduces the women active in the discipline during the first decade of the Association, compiles descriptions of their experiences related to their treatment based on gender, and examines these historical perspectives in conjunction with documented trends of continuing gender disparities. A pattern is evident for these early anthropologists of receiving personal and financial discouragement during their education; experiencing discrimination in hiring, promotion, and pay; studying women and children as entrée into professional work; working within the federal government or military; leaving anthropology early in their careers; having their work credited to their male colleagues; experiencing additional limitations if they married; and outwardly downplaying their own experiences of sexism. This pattern is echoed in the experiences of female anthropologists today.


Subject(s)
Anthropology, Physical/history , Anthropology, Physical/organization & administration , Sexism/history , Career Choice , Female , History, 20th Century , History, 21st Century , Humans
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