scholarly journals A Nationally Representative Survey of Faith and Work: Demographic Subgroup Differences around Calling and Conflict

Religions ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 287
Author(s):  
Elaine Howard Ecklund ◽  
Denise Daniels ◽  
Daniel Bolger ◽  
Laura Johnson
Keyword(s):  
Large Scale ◽  
Religious Faith ◽  
Business Leaders ◽  
Religious Conflict ◽  
National Data ◽  
Faith At Work ◽  
Work Conflict ◽  
Nationally Representative ◽  
Demographic Subgroup ◽  
Initial Results

Research has increasingly highlighted the importance of business leaders allowing people to bring their whole selves to work. And religion is an important part of the whole self for many. However, we lack the large-scale national data needed to explore how Americans see the connections between religion and work. Here, from “Faith at Work: An Empirical Study”—a novel, nationally representative dataset—we explore the extent to which working Americans (N = 8767) see their work as a spiritual calling and/or experience work conflict because of their religious faith. We find that one fifth of workers identify their work as a spiritual calling. Our findings also suggest that experiences of religious conflict and discrimination are shaped not only by religious beliefs, but also social location. The initial results highlight future avenues for research and demonstrate the potential of the “Faith at Work” data to shed further light on how religion enters the workplace.

Introduction

2020 ◽  
pp. 1-17
Author(s):  
Bradley C. Smith
Keyword(s):  
Religious Faith ◽  
Business Leaders ◽  
Corporate America ◽  
Common Cause ◽  
Religious Traditions ◽  
Faith At Work ◽  
Modern Capitalism ◽  
Religious Convictions ◽  
The World

While some are wary of trends that encourage the interpenetration of faith and business, others welcome such integration, seeing in Christianity and other religious traditions dispositions that could challenge unhealthy characteristics and consequences of modern capitalism. Some have in fact come to believe that religious faith represents a wellspring of resources and concern that might help reshape corporate America by re-humanizing business and fortifying its ethical moorings. Given the world-changing energy evangelicals possess, evangelical business leaders in particular are candidates to initiate such reform as they attempt to do business in ways that are compatible with their religious convictions. For better or worse, evangelical executives could also advance a religious agenda if they join together in common cause, as some have suggested characterizes the faith at work movement. While evangelical business leaders certainly state that their faith influences their work, the nature and effect of such influence is often unexpected.

Accidental Sustainability

2017 ◽  
Author(s):  
Geoffrey Jones
Keyword(s):  
Large Scale ◽  
Negative Impact ◽  
Positive Impact ◽  
Organic Food ◽  
The United States ◽  
Air Travel ◽  
Business Leaders ◽  
Natural Beauty ◽  
And Diffusion ◽  
Whole Foods

This chapter examines the scaling and diffusion of green entrepreneurship between 1980 and the present. It explores how entrepreneurs and business leaders promoted the idea that business and sustainability were compatible. It then examines the rapid growth of organic foods, natural beauty, ecological architecture, and eco-tourism. Green firms sometimes grew to a large scale, such as the retailer Whole Foods Market in the United States. The chapter explores how greater mainstreaming of these businesses resulted in a new set of challenges arising from scaling. Organic food was now transported across large distances causing a negative impact on carbon emissions. More eco-tourism resulted in more air travel and bigger airports. In other industries scaling had a more positive impact. Towns were major polluters, so more ecological buildings had a positive impact.

scholarly journals Correcting Citizens’ Misperceptions about non-Western Immigrants: Corrective Information, Interpretations, and Policy Opinions

2020 ◽  
pp. 1-10 ◽  
Author(s):  
Frederik Juhl Jørgensen ◽  
Mathias Osmundsen
Keyword(s):  
Immigration Policy ◽  
Large Scale ◽  
Total Population ◽  
Survey Experiment ◽  
Correct Information ◽  
The Usa ◽  
Large Scale Survey ◽  
Nationally Representative ◽  
Information Change ◽  
Corrective Information

Abstract Can corrective information change citizens’ misperceptions about immigrants and subsequently lead to favorable immigration opinions? While prior studies from the USA document how corrections about the size of minority populations fail to change citizens’ immigration-related opinions, they do not examine how other facts that speak to immigrants’ cultural or economic dependency rates can influence immigration policy opinions. To extend earlier work, we conducted a large-scale survey experiment fielded to a nationally representative sample of Danes. We randomly expose participants to information about non-Western immigrants’ (1) welfare dependency rate, (2) crime rate, and (3) proportion of the total population. We find that participants update their factual beliefs in light of correct information, but reinterpret the information in a highly selective fashion, ultimately failing to change their policy preferences.

scholarly journals The Role of Risk Preferences in Responses to Messaging About COVID-19 Vaccine Take-Up

2021 ◽  
pp. 194855062199962
Author(s):  
Jennifer S. Trueblood ◽  
Abigail B. Sussman ◽  
Daniel O’Leary
Keyword(s):  
Large Scale ◽  
Risk Preferences ◽  
Herd Immunity ◽  
Disease Spread ◽  
Short Term ◽  
Policy Makers ◽  
Health Crisis ◽  
Flu Vaccine ◽  
Nationally Representative

Development of an effective COVID-19 vaccine is widely considered as one of the best paths to ending the current health crisis. While the ability to distribute a vaccine in the short-term remains uncertain, the availability of a vaccine alone will not be sufficient to stop disease spread. Instead, policy makers will need to overcome the additional hurdle of rapid widespread adoption. In a large-scale nationally representative survey ( N = 34,200), the current work identifies monetary risk preferences as a correlate of take-up of an anticipated COVID-19 vaccine. A complementary experiment ( N = 1,003) leverages this insight to create effective messaging encouraging vaccine take-up. Individual differences in risk preferences moderate responses to messaging that provides benchmarks for vaccine efficacy (by comparing it to the flu vaccine), while messaging that describes pro-social benefits of vaccination (specifically herd immunity) speeds vaccine take-up irrespective of risk preferences. Findings suggest that policy makers should consider risk preferences when targeting vaccine-related communications.

scholarly journals The utility of self-rated health in population surveys: the role of bodyweight

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Robert Bozick
Keyword(s):  
Treatment Group ◽  
Large Scale ◽  
Well Being ◽  
Control Group ◽  
Self Rated Health ◽  
Risk Of Mortality ◽  
Highly Sensitive ◽  
The Usa ◽  
Group Members ◽  
Nationally Representative

Abstract Background Self-rated health (SRH) is one of the most commonly used summary measures of overall health and well-being available to population scientists due to its ease of administration in large-scale surveys and to its efficacy in predicting mortality. This paper assesses the extent to which SRH is affected by its placement before or after questions about bodyweight on a survey, and whether differences in placement on the questionnaire affects SRH’s predictive validity. Methods I assessed the validity of SRH in predicting the risk of mortality by comparing outcomes of sample members who were asked to rate their health before reporting on their bodyweight (the control group) and sample members who were asked to rate their health after reporting on their bodyweight (the treatment group). Both the control and treatment group were randomly assigned via an experiment administered as a module in a nationally representative sample of adults in the USA in 2019 (N = 2523). Results The odds of reporting a more favorable appraisal of health are 30% lower for sample members who were in the treatment group when compared with the control group. Additionally, the SRH of treatment group members is significantly associated with their risk of mortality, while the SRH of control group members is not. Conclusion The findings from this study suggest that for researchers to maximize the utility of SRH, closer attention needs to be paid to the context of the survey within which it asked. SRH is highly sensitive to the questions that precede it, and this sensitivity may in turn mischaracterize the true health of the population that the survey is intending to measure.

scholarly journals Developing a vocabulary and ontology for modeling insect natural history data: example data, use cases, and competency questions

2019 ◽  
Vol 7 ◽  
Author(s):  
Brian Stucky ◽  
James Balhoff ◽  
Narayani Barve ◽  
Vijay Barve ◽  
Laura Brenskelle ◽  
...  
Keyword(s):  
Natural History ◽  
Large Scale ◽  
Use Cases ◽  
Data Systems ◽  
Multiple Sources ◽  
History Data ◽  
Insect Ecology ◽  
Many Sources ◽  
Multicellular Organisms ◽  
Initial Results

Insects are possibly the most taxonomically and ecologically diverse class of multicellular organisms on Earth. Consequently, they provide nearly unlimited opportunities to develop and test ecological and evolutionary hypotheses. Currently, however, large-scale studies of insect ecology, behavior, and trait evolution are impeded by the difficulty in obtaining and analyzing data derived from natural history observations of insects. These data are typically highly heterogeneous and widely scattered among many sources, which makes developing robust information systems to aggregate and disseminate them a significant challenge. As a step towards this goal, we report initial results of a new effort to develop a standardized vocabulary and ontology for insect natural history data. In particular, we describe a new database of representative insect natural history data derived from multiple sources (but focused on data from specimens in biological collections), an analysis of the abstract conceptual areas required for a comprehensive ontology of insect natural history data, and a database of use cases and competency questions to guide the development of data systems for insect natural history data. We also discuss data modeling and technology-related challenges that must be overcome to implement robust integration of insect natural history data.

The Effects of Part-Time Work on Women's Occupational Mobility in Britain: Evidence from the 1958 Birth Cohort Study

2012 ◽  
Vol 222 ◽  
pp. R20-R37 ◽  
Author(s):  
Shirley Dex ◽  
Erzsébet Bukodi
Keyword(s):  
Cohort Study ◽  
Large Scale ◽  
Occupational Mobility ◽  
Birth Cohort Study ◽  
Full Time ◽  
Downward Mobility ◽  
Time Work ◽  
Part Time ◽  
Nationally Representative ◽  
Part Time Work

The effects of working part time on job downgrading and upgrading are examined over the life course of British women born in 1958. We use longitudinal data with complete work histories from a large-scale nationally representative cohort study. Occupations were ranked by their hourly average earnings. Analyses show a strong link between full-time/part-time transitions and downward and upward occupational mobility over the course of up to thirty years of employment. Probabilities of occupational mobility were affected by women's personal traits, occupational characteristics and demand-side factors. Downward mobility on moving from full-time to part-time work was more likely for women at the top levels of the occupational hierarchy working in male-dominated or mixed occupations and less likely in higher occupations with more part-time jobs available.

Sexual Orientation, Religiosity, and Subjective Wellbeing in Canada

2018 ◽  
Vol 47 (4) ◽  
pp. 540-565 ◽  
Author(s):  
Maryam Dilmaghani
Keyword(s):  
Sexual Orientation ◽  
Cultural Context ◽  
Large Scale ◽  
Subjective Wellbeing ◽  
Positive Association ◽  
Religious Involvement ◽  
Weight Of Evidence ◽  
Gay Males ◽  
Canadian Data ◽  
Nationally Representative

The cumulative weight of evidence supports that religious involvement has a positive association with subjective wellbeing. This association is found to vary by cultural context, gender, and age. No large scale study exists regarding the effects of sexual orientation on the association between religiosity and subjective wellbeing. This article, using nationally representative Canadian data from 2010 to 2014, fills this gap. As a prelude, the sexual orientation-related differences in religiosity, also not previously examined using Canadian data, are assessed. Both gay males and lesbians are found more likely to be unaffiliated than their heterosexual counterparts. The association of religiosity with subjective wellbeing is found to be positive, though small, for heterosexuals of both genders and for gay males. No statistically significant effect is found for lesbians. Various venues of explanation are explored.

scholarly journals Real-bogus classification for the Zwicky Transient Facility using deep learning

2019 ◽  
Vol 489 (3) ◽  
pp. 3582-3590 ◽  
Author(s):  
Dmitry A Duev ◽  
Ashish Mahabal ◽  
Frank J Masci ◽  
Matthew J Graham ◽  
Ben Rusholme ◽  
...  
Keyword(s):  
Deep Learning ◽  
False Positive ◽  
Large Scale ◽  
Moving Objects ◽  
False Negative ◽  
Efficient Manner ◽  
Astronomical Surveys ◽  
Comparable Performance ◽  
Cost Efficient ◽  
Initial Results

ABSTRACT Efficient automated detection of flux-transient, re-occurring flux-variable, and moving objects is increasingly important for large-scale astronomical surveys. We present braai, a convolutional-neural-network, deep-learning real/bogus classifier designed to separate genuine astrophysical events and objects from false positive, or bogus, detections in the data of the Zwicky Transient Facility (ZTF), a new robotic time-domain survey currently in operation at the Palomar Observatory in California, USA. Braai demonstrates a state-of-the-art performance as quantified by its low false negative and false positive rates. We describe the open-source software tools used internally at Caltech to archive and access ZTF’s alerts and light curves (kowalski ), and to label the data (zwickyverse). We also report the initial results of the classifier deployment on the Edge Tensor Processing Units that show comparable performance in terms of accuracy, but in a much more (cost-) efficient manner, which has significant implications for current and future surveys.

scholarly journals Is Daily Parental Help with Homework Helpful? Reanalyzing National Data Using a Propensity Score–Based Approach

2019 ◽  
Vol 92 (4) ◽  
pp. 367-385 ◽  
Author(s):  
Angran Li ◽  
Daniel Hamlin
Keyword(s):  
Student Achievement ◽  
Propensity Score ◽  
Negative Relationship ◽  
First Grade ◽  
Minority Status ◽  
National Data ◽  
High Propensity ◽  
Prior Achievement ◽  
Nationally Representative ◽  
The Relationship

Previous analyses of large national datasets have tended to report a negative relationship between parental homework help and student achievement. Yet these studies have not examined heterogeneity in this relationship based on the propensity for a parent to provide homework help. By using a propensity score–based approach, this study investigates the relationship between daily parental homework help in first grade and student achievement in third grade with nationally representative data from the Early Childhood Longitudinal Study–Kindergarten Class. Results indicated that low prior achievement, socioeconomic disadvantage, and minority status were associated with a high propensity to provide daily homework help. Daily parental homework help was also associated with improved achievement for children whose parents had a high propensity to provide daily homework help. These patterns suggest that complex factors induce daily parental homework help and that these factors are related to heterogeneity in the relationship between daily parental homework help and achievement.

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