Search results

Evolutionary developmental biology is a highly variable scientific innovation because researchers can adapt their involvement in the innovation to the opportunities provided by their environment. On the basis of comparative case studies in four countries, we link epistemic properties of research tasks to three types of necessary protected space, and identify the necessary and facilitating conditions for building them. We found that the variability of research tasks made contributing to evolutionary developmental biology possible under most sets of authority relations. However, even the least demanding research depends on its acceptance as legitimate innovation by the scientific community and of purely basic research by state policy and research organisations. The latter condition is shown to become precarious.

There is extensive evidence that decision-makers, faced with increasing information load, may simplify their choice by reducing the amount of information to process. One simplification, commonly referred to as attribute non-attendance (ANA), is a reduction of the number of attributes of the choice alternatives. Several previous studies have identified relationships between varying information load and ANA using self-reported measures of ANA. This chapter revisits this link, motivated by recognition in the literature that such self-reported measures are vulnerable to reporting error.

This chapter employs a recently developed modelling approach that has been shown to effectively infer ANA, the random parameters attribute non-attendance (RPANA) model. The empirical setting systematically varies the information load across respondents, on a number of dimensions.

Confirming earlier findings, ANA is accentuated by an increase in the number of attribute levels, and a decrease in the number of alternatives. Additionally, specific attributes are more likely to not be attended to as the total number of attributes increases. Willingness to pay (WTP) under inferred ANA differs notably from when ANA is self-reported. Additionally accounting for varying information load, when inferring ANA, has little impact on the WTP distribution of those that do attend. However, due to varying rates of non-attendance, the overall WTP distribution varies to a large extent.

This is the first examination of the impact of varying information load on inferred ANA that is identified with the RPANA model. The value lies in the confirmation of earlier findings despite the evolution of methodologies in the interim.

Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.

Blacks are more likely than white, in the United States, to experience a stillbirth. In this study, I use a structural perspective of race to create a heuristic model that combines medical and social epidemiological explanations to understand the racial disparity in stillbirths. Using data from the National Maternal and Infant Health Survey 1988 (NMIHS), I examine whether racial disparities in stillbirths can be explained by medical and social epidemiological variables. My findings show that medical and social epidemiological explanations do little to reduce the racial disparity. However, many medical model variables were important predictors of stillbirths including multiple gestations, being overweight, obesity, vaginal bleeding, advanced maternal age, and parity.

Six African-American, heterosexual couples with a toddler son in a southeastern United States county were interviewed about their beliefs and practices. Couples shared reflections of joys and challenges in their lives right before and during the pregnancy, delivery and right after the birth of their son. Through thematic analysis, results showed that most parents shared similar experiences of planning the pregnancy, breastfeeding from birth, and both being involved in caregiving. However, variability in preparation, emotions, and adjustment existed during this period. Although differential pregnancy outcomes could be race-related (i.e. gestational period length and preterm delivery), other aspects of this universal experience were similar to the average couple in the United States. This study aims to consider the implications for how race might impact the variability across families.

The sociology of science and technology, although a lively field (Lynch, 1993; Shapin, 1995; Pinch, 2006), continues to be little taught within American sociology departments. The practitioners are often to be found within interdisciplinary Science and Technology Studies (S&TS) programs and departments. S&TS is a newly emerging discipline. In 2007 for the first time the NRC in the US included it as an “emerging discipline” within its annual ranking exercises. This peculiarly “interdisciplinary discipline” (in other words it has interdisciplinary roots largely in sociology, philosophy, history, political science, law, anthropology, cultural studies, and feminism, but has now formed a sufficiently stable body of canonical works, handbooks, PhD programs, and the like that it is becoming institutionalized as a new discipline in its own right), takes science, technology, and medicine as its object of study and examines its knowledge, practices, and embedding in culture and society using largely humanistic and social science methods. Often the practitioners of S&TS have their first degrees in the sciences or engineering and a higher degree in the humanities and social sciences. Many S&TS departments, as well as teaching their own majors, and offering capstone courses, carry out a service role teaching engineering and science students. These latter students often take S&TS courses to meet humanities distribution requirements. In the past they may have taken courses on Shakespeare and the like but now they look for something a bit more relevant to their careers. Such courses present an unusual opportunity to teach fundamental sociological ideas to scientists and engineers. For these students it is often their first and perhaps only encounter with the world of academic sociology. In this chapter I report on the experiences of developing and teaching one such course, “What is Science?”. I offer this account in the hope that other teachers may benefit from what I have learnt in my 14-year experience of offering this course.

The impact of an effective principal on the quality of teaching and learning has been clearly established. Logically, the next question to be answered is: How can we best prepare principals to lead the improvement of instructional practices and outcomes for students? Partnerships between school districts and universities have shown the capacity to be an effective means of preparing principals, and much has been confirmed about how those partnerships should be structured in order to benefit both partners. This document looks briefly at the literature that describes and supports these partnerships, outlines the framework of a successful partnership in Florida, and provides insightful “lessons learned” throughout the planning, implementation, and evaluation of that partnership.

Since both organizations realize important benefits, constructing a district/university partnership should be easy. However, differences in the professional cultures of the two organizations as well as differences in the demands and constraints they each face make it a challenging task. From finding the right university partner to planning the collaborative work in detail; what was learned in the Florida partnership is described in straightforward terms. In this way, the document provides a road map to a successful district and university partnership.

Josh Bendickson is a Ph.D. student at Louisiana State University in the E. J. Ourso College of Business. He teaches principles of management in the Rucks Department of Management and is also involved in the Stephenson Entrepreneurship Institute. His research interests include strategy, entrepreneurship, and management history.