The Teaching of Population by Sociologists

Abstract

This paper addresses the impact of forces in the new economy on the earnings of workers. Using data from the Indiana Survey of Workers In a Polarized Economy (ISWIPE), we examine the impact of several variables that have not been systematically examined in previous research. Specifically, we investigate the impact on earnings of the new economy variables of downsizing, contingent work, “job slide,” perceived job security, working with computers, job growth, deindustrialization, and work in the marginal sector. After controlling for a variety of sociodemographic, class, and structural variables, we find that indicators of the new economy contribute importantly to the explanation of earnings. We find that working in the marginal sector is more important than traditional dualistic concepts such as core and periphery sectors and primary and secondary labor markets for explaining earnings. We believe our findings provide evidence for the importance of a “reconstituted core and periphery” in the labor market. We conclude with a discussion of the implications of our results.     

Quantifying leader lives: What historiometric approaches can tell us

Historically notable leaders, such as John F. Kennedy, Mohandas Ghandi, and Rupert Murdoch, serve as exemplars in our field of study. Across the domains of military, business, government, ideology, and the arts, these outstanding leaders have markedly impacted the institutions, fields, and broader social structures in which they worked and lived. To understand the unique styles, developmental experiences, and performance contributions of such leaders, a historiometric approach is encouraged. We define this methodological strategy as the study of multiple eminent leaders that requires the translation of historical, qualitative information into quantitative indices of individual differences in leaders. Best practices, limitations, and implications for this technique as an advancement of leadership theory are reviewed.     

Two Centuries of Mortality Change in Central Japan: The Evidence From a Temple Death Register

Temple registers in a remote area of central Japan are used to produce a portrait of mortality change over a period of nearly two centuries. This portrait is most remarkable in showing a near-stability in life expectancy at birth between 30 and 40 years until the middle of the twentieth century. This stability was to some extent a product of offsetting trends. Infant and child mortality declined sharply after 1885, coinciding with a major national effort to vaccinate against smallpox. At the same time, mortality was rising at ages 15–29 as industrialization brought increased exposure to tuberculosis. Both these trends are likely to have been shared throughout much of rural Japan.     

酒店公关：讲求高度平衡力

酒店公关可谓不少人羡慕的工作，每次他们出现都是谈吐得体、遏事淡定、仪表出众，而且又在豪华星级酒店工作。不过，马哥孛罗酒店公关经理Virginia表示这只是别人看到的美丽表面，其实酒店公关的工作十分繁重，经常要平衡不同方面的需要及期望，需要极高的平衡力。     

Moments of a product Pearson type VII density distribution

A new Pearson type VII distribution is introduced by taking the product of two Pearson type VII pdfs. Detailed moment properties and particular cases are derived.     

Modelling the spread in space and time of an airborne plant disease

Summary.  A spatiotemporal model is developed to analyse epidemics of airborne plant diseases which are spread by spores. The observations consist of measurements of the severity of disease at different times, different locations in the horizontal plane and different heights in the vegetal cover. The model describes the joint distribution of the occurrence and the severity of the disease. The three-dimensional dispersal of spores is modelled by combining a horizontal and a vertical dispersal function. Maximum likelihood combined with a parametric bootstrap is suggested to estimate the model parameters and the uncertainty that is attached to them. The spatiotemporal model is used to analyse a yellow rust epidemic in a wheatfield. In the analysis we pay particular attention to the selection and the estimation of the dispersal functions.     

Policy Learning for Flood Mitigation: A Longitudinal Assessment of the Community Rating System in Florida

Floods continue to inflict the most damage upon human communities among all natural hazards in the United States. Because localized flooding tends to be spatially repetitive over time, local decisionmakers often have an opportunity to learn from previous events and make proactive policy adjustments to reduce the adverse effects of a subsequent storm. Despite the importance of understanding the degree to which local jurisdictions learn from flood risks and under what circumstances, little if any empirical, longitudinal research has been conducted along these lines. This article addresses the research gap by examining the change in local flood mitigation policies in Florida from 1999 to 2005. We track 18 different mitigation activities organized into four series of activities under the Federal Emergency Management Agency's (FEMA) Community Rating System (CRS) for every local jurisdiction in Florida participating in the FEMA program on a yearly time step. We then identify the major factors contributing to policy changes based on CRS scores over the seven-year study period. Using multivariate statistical models to analyze both natural and social science data, we isolate the effects of several variables categorized into the following groups: hydrologic conditions, flood disaster history, socioeconomic and human capital controls. Results indicate that local jurisdictions do in fact learn from histories of flood risk and this process is expedited under specific conditions.