The Disparate Impact of Up-or-Out Promotion Policy on Fertility Timing

2020 ◽  
Vol 22 (1) ◽  
pp. 127-172
Author(s):  
Kyung H Park ◽  
Nayoung Rim
Keyword(s):  
Adverse Effects ◽  
Career Advancement ◽  
Data Set ◽  
Men And Women ◽  
Promotion Policy ◽  
Fertility Decisions ◽  
Fertility Timing ◽  
First Child ◽  
Nationally Representative ◽  
Gender Based

Abstract There is growing evidence that childbirth can have especially adverse effects on the career advancement of women. Our study examines how this affects the fertility decisions of men and women on the partner track. We use the After the JD study, a rich panel data set on a nationally representative sample of lawyers, and find that women are more likely than men to delay their first child until after the promotion decision is resolved. This difference in fertility timing is not easily explained by gender-based sorting; however, descriptive evidence suggests that reduced employer investment in mothers and social norms that tie women to child care are relevant mechanisms.

scholarly journals An Exploration of Gender Based Differences in Workplace Values

2013 ◽  
Vol 3 (3) ◽  
pp. 50 ◽  
Author(s):  
Fapohunda, Tinuke. M
Keyword(s):  
Career Advancement ◽  
Work Environments ◽  
Social Scientists ◽  
Men And Women ◽  
Male And Female ◽  
Female Workers ◽  
Males And Females ◽  
Workplace Values ◽  
Gender Based ◽  
Basic Ideas

Possible gender differences in the workplace are always a hot topic because they might explain why men continue to dominate in the jobs arena, despite the significant headway being made by women. Recent data indicate that males and females have somewhat differing priorities in their jobs but share basic ideas of what they think is important. Some research has shown that a supposed values gap between male and female workers does not explain away why men continue to enjoy greater career advancement than women. Social scientists have also theorized that work environments can embody both "male" and "female" characteristics, which may impact job satisfaction. Taking steps to better understand worker’s values can bring about important advantage in developing workable and well-supported policies. Understanding what men and women value in a job is important to designing effective approaches to human resource management and in skill development initiatives.

Childhood Intelligence Predicts Adult Trait Openness

2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Social Background ◽  
Study Data ◽  
Equation Modeling ◽  
Direct Effects ◽  
Data Set ◽  
National Child Development Study ◽  
Nationally Representative ◽  
The Uk

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.

Changing patterns of migration to Australia's Northern Territory: Evidence of new forms of escalator migration to frontier regions?

2013 ◽  
Vol 10 (1) ◽  
pp. 101-114 ◽  
Author(s):  
Catherine Martel ◽  
Andrew Taylor ◽  
Dean Carson
Keyword(s):  
Young People ◽  
Life Events ◽  
Career Advancement ◽  
Work And Family ◽  
Northern Territory ◽  
Population Ageing ◽  
Men And Women ◽  
Working Lives ◽  
Changing Patterns ◽  
New Perspective

Building on Fielding’s idea of escalator regions as places where young people migrate (often temporarily) to get rapid career advancement, this paper proposes a new perspective on 'escalator migration' as it applies to frontier or remote regions in particular. Life events, their timing and iterations have changed in the thirty years since Fielding first coined the term ‘escalator region’, with delayed adulthood, multiple career working lives, population ageing and different dynamics between men and women in the work and family sphere. The object of this paper is to examine recent migration trends to Australia's Northern Territory for evidence of new or emerging 'escalator migrants'.

STEM-Focused Career Courses and College Pipeline for Students with Learning Disabilities

2021 ◽  
pp. 089590482110199
Author(s):  
Jennifer A. Freeman ◽  
Michael A. Gottfried ◽  
Jay Stratte Plasman
Keyword(s):  
High School ◽  
Learning Disabilities ◽  
High School Students ◽  
The United States ◽  
Students With Learning Disabilities ◽  
School Students ◽  
Data Set ◽  
Stem Majors ◽  
Career And Technical ◽  
Nationally Representative

Recent educational policies in the United States have fostered the growth of science, technology, engineering, and mathematics (STEM) career-focused courses to support high school students’ persistence into these fields in college and beyond. As one key example, federal legislation has embedded new types of “applied STEM” (AS) courses into the career and technical education curriculum (CTE), which can help students persist in STEM through high school and college. Yet, little is known about the link between AS-CTE coursetaking and college STEM persistence for students with learning disabilities (LDs). Using a nationally representative data set, we found no evidence that earning more units of AS-CTE in high school influenced college enrollment patterns or major selection in non-AS STEM fields for students with LDs. That said, students with LDs who earned more units of AS-CTE in high school were more likely to seriously consider and ultimately declare AS-related STEM majors in college.

scholarly journals The COVID Connection: Pandemic Anxiety, COVID-19 Comprehension, and Digital Confidence

2021 ◽  
pp. 000276422110031
Author(s):  
Laura Robinson ◽  
Jeremy Schulz ◽  
Øyvind N. Wiborg ◽  
Elisha Johnston
Keyword(s):  
Logistic Models ◽  
The United States ◽  
Sociodemographic Factors ◽  
Future Research ◽  
Lower Probability ◽  
Data Set ◽  
Digital Inequality ◽  
Partner Status ◽  
General Anxiety ◽  
Nationally Representative

This article presents logistic models examining how pandemic anxiety and COVID-19 comprehension vary with digital confidence among adults in the United States during the first wave of the pandemic. As we demonstrate statistically with a nationally representative data set, the digitally confident have lower probability of experiencing physical manifestations of pandemic anxiety and higher probability of adequately comprehending critical information on COVID-19. The effects of digital confidence on both pandemic anxiety and COVID-19 comprehension persist, even after a broad range of potentially confounding factors are taken into account, including sociodemographic factors such as age, gender, race/ethnicity, metropolitan status, and partner status. They also remain discernable after the introduction of general anxiety, as well as income and education. These results offer evidence that the digitally disadvantaged experience greater vulnerability to the secondary effects of the pandemic in the form of increased somatized stress and decreased COVID-19 comprehension. Going forward, future research and policy must make an effort to address digital confidence and digital inequality writ large as crucial factors mediating individuals’ responses to the pandemic and future crises.

scholarly journals The Origins of Religious Disbelief: A Dual Inheritance Approach

2021 ◽  
pp. 194855062199400 ◽  
Author(s):  
Will M. Gervais ◽  
Maxine B. Najle ◽  
Nava Caluori
Keyword(s):  
Cultural Transmission ◽  
Religious Commitment ◽  
Data Set ◽  
Cognitive Reflection ◽  
Theoretical Approaches ◽  
Cultural Exposure ◽  
Theories Of Religion ◽  
Nationally Representative ◽  
Cultural Cues ◽  
Dual Inheritance

Widespread religious disbelief represents a key testing ground for theories of religion. We evaluated the predictions of three prominent theoretical approaches—secularization, cognitive byproduct, and dual inheritance—in a nationally representative (United States, N = 1,417) data set with preregistered analyses and found considerable support for the dual inheritance perspective. Of key predictors of religious disbelief, witnessing fewer credible cultural cues of religious commitment was the most potent, β = .28, followed distantly by reflective cognitive style, β = .13, and less advanced mentalizing, β = .05. Low cultural exposure predicted about 90% higher odds of atheism than did peak cognitive reflection, and cognitive reflection only predicted disbelief among those relatively low in cultural exposure to religion. This highlights the utility of considering both evolved intuitions and transmitted culture and emphasizes the dual roles of content- and context-biased social learning in the cultural transmission of disbelief (preprint https://psyarxiv.com/e29rt/ ).

scholarly journals Trends in Hospital Admissions for Chronic Obstructive Pulmonary Disease in Men and Women in SPAIN, 1998 to 2018

2021 ◽  
Vol 10 (7) ◽  
pp. 1529
Author(s):  
Domingo Orozco-Beltrán ◽  
Juan Manuel Arriero-Marin ◽  
Concepción Carratalá-Munuera ◽  
Juan J. Soler-Cataluña ◽  
Adriana Lopez-Pineda ◽  
...  
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Pulmonary Disease ◽  
Hospital Admissions ◽  
Chronic Obstructive ◽  
Annual Percent Change ◽  
Data Set ◽  
Obstructive Pulmonary Disease ◽  
Men And Women ◽  
Admission Rates ◽  
Percent Change

The prevalence of chronic obstructive pulmonary disease (COPD) is rising faster in women in some countries. An observational time trends study was performed to assess the evolution of hospital admissions for COPD in men and women in Spain from 1998 to 2018. ICD-9 diagnostic codes (490–492, 496) from the minimum basic data set of hospital discharges were used. Age-standardised admission rates were calculated using the European Standard Population. Joinpoint regression models were fitted to estimate the annual percent change (APC). In 2018, the age-standardised admission rate per 100,000 population/year for COPD was five times higher in men (384.8, 95% CI: 381.7, 387.9) than in women (78.6, 95% CI: 77.4, 79.9). The average annual percent change (AAPC) was negative over the whole study period in men (−1.7%/year, 95% CI: −3.1, −0.2) but positive from 2010 to 2018 (1.1%/year, 95% CI: −0.8, 2.9). In women, the APC was −6.0% (95%CI: −7.1, −4.9) from 1998 to 2010, but the trend reversed direction in the 2010–2018 period (7.8%/year, 95% CI: 5.5, 10.2). Thus, admission rates for COPD decreased from 1998 to 2010 in both men and women but started rising again until 2018, modestly in men and sharply in women.

scholarly journals Social stress and risk of declining cognition: a longitudinal study of men and women in the United States

2021 ◽  
Author(s):  
Jutta Lindert ◽  
Kimberley C. Paul ◽  
E. Lachman Margie ◽  
Beate Ritz ◽  
Teresa Seeman
Keyword(s):  
United States ◽  
Adverse Effects ◽  
Executive Functioning ◽  
Episodic Memory ◽  
Social Status ◽  
Social Stress ◽  
The United States ◽  
Subjective Social Status ◽  
Linear Regression Models ◽  
Men And Women

AbstractLimited research is available on the relationship between social stress and risk of declining cognition. We sought to examine whether social stress has adverse effects on risk of declining episodic memory and executive functioning in aging individuals. We used data from the MIDUS study, a national probability sample of non-institutionalized, English speaking respondents aged 25–74 living in the 48 contiguous states of the United States. The initial wave (1995) included 4963 non-institutionalized adults aged 32–84 (M = 55, SD = 12.4). We used an analytic sample from MIDUS-II (1996/1997) and MIDUS-III (2013) (n = 1821). The dependent variables are episodic memory and executive functioning, which were assessed with the Brief Test for Cognition (BTACT). The independent variables were social stress variables (subjective social status, family and marital stress, work stress and discrimination). To evaluate episodic memory and executive functioning changes over a time period of 10 years, we estimated adjusted linear regression models. Women report significantly lower subjective social status and more discrimination stress than men across all age groups. Controlling for education and income, age, and baseline episodic memory and executive functioning, lower subjective social status had additional adverse effects on declines in episodic memory in men and women. Marital risk had adverse effects on episodic memory in men but not in women. Daily discrimination had adverse effects on executive functioning on all individuals. Public health strategies should focus on reducing social stress in a socio-ecological perspective. Especially, subjective social status and discrimination stress might be a target for prevention efforts.

scholarly journals Deep Neural Network for Gender-Based Violence Detection on Twitter Messages

Mathematics ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 807
Author(s):  
Carlos M. Castorena ◽  
Itzel M. Abundez ◽  
Roberto Alejo ◽  
Everardo E. Granda-Gutiérrez ◽  
Eréndira Rendón ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Gender Violence ◽  
Strategic Decision ◽  
Learning Approaches ◽  
Gender Based Violence ◽  
Data Set ◽  
Violence Detection ◽  
Governmental Institutions ◽  
Gender Based

The problem of gender-based violence in Mexico has been increased considerably. Many social associations and governmental institutions have addressed this problem in different ways. In the context of computer science, some effort has been developed to deal with this problem through the use of machine learning approaches to strengthen the strategic decision making. In this work, a deep learning neural network application to identify gender-based violence on Twitter messages is presented. A total of 1,857,450 messages (generated in Mexico) were downloaded from Twitter: 61,604 of them were manually tagged by human volunteers as negative, positive or neutral messages, to serve as training and test data sets. Results presented in this paper show the effectiveness of deep neural network (about 80% of the area under the receiver operating characteristic) in detection of gender violence on Twitter messages. The main contribution of this investigation is that the data set was minimally pre-processed (as a difference versus most state-of-the-art approaches). Thus, the original messages were converted into a numerical vector in accordance to the frequency of word’s appearance and only adverbs, conjunctions and prepositions were deleted (which occur very frequently in text and we think that these words do not contribute to discriminatory messages on Twitter). Finally, this work contributes to dealing with gender violence in Mexico, which is an issue that needs to be faced immediately.

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