The paper uses interviews and observational data gathered among a group of UK scientists and civil servants responsible for managing a study examining the possible transmission to humans of Borna disease virus (BDV), a disease primarily of farm animals. From a science and technology studies perspective, the paper examines the social processes whereby this scientific problem (possible human transmission) was constituted as a worthy topic of scientific investigation, came to receive funding, and was subjected to independent review. It appears that BDV research displays only some of the characteristics of 'post-normal science' with little participation by extended peer communities. Civil servants and scientists reported social interests that were complex and both fractionated and cross-occupational. An important motivation for engaging in the research was the need to maintain investment in pre-existing scientific resources (assay development, virus stocks and an existing epidemiological cohort). In respect of translation theory, influence was a two-way street, with civil servants eager to enrol scientists and represent the interests of science, and with scientists presenting themselves as defenders of the public good. Despite the dynamic character of scientific debate, the 'career' of BDV investigation appears to have ended in disengagement, rather than closure.
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http://dx.doi.org/10.1016/j.socscimed.2006.01.019 | DOI Listing |
Data Brief
February 2025
Estación Experimental de Aula Dei, EEAD - CSIC, Ave. Montañana 1005, 50059 Zaragoza, Spain.
The dataset [1] hosts pedological info and images of the lands -locally known as - of the outcropping gypsiferous core of the Barbastro-Balaguer anticline (Fig. 1). It stands out in the landscape for the linear reliefs due to outcrops of dipping strata with differential resistance to erosion, and also because of its whitish color (Fig.
View Article and Find Full Text PDFHealth Policy
January 2025
80000 Amiens, France. Electronic address:
Behav Sci (Basel)
December 2024
Escuela Profesional de Ingeniería Civil, Facultad de Ingeniería y Arquitectura, Universidad Peruana Unión, Juliaca 21100, Peru.
The leadership literature suggests that a servant leadership style can reduce negative employee outcomes, even in challenging work environments such as the educational sector, where teachers play a key role in social development. This research aimed to evaluate the effect of servant leadership on work happiness and organizational justice. An explanatory study was carried out including 210 men and women who declared that they perform teaching activities, aged between 21 and 68 years (M = 38.
View Article and Find Full Text PDFJ Urban Health
January 2025
Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
Neighborhoods or residential environments have physical and social attributes which may contribute to inequalities in the overweight and obesity pandemic. We examined the longitudinal associations of baseline neighborhood-level income and racial residential segregation (using the Gi* statistic: low, medium, high) with changes in body mass index (BMI in kg/m), using geocoded data from 1821 civil servants in the municipality of Rio de Janeiro, Brazil, followed-up for approximately 13 years (baseline wave 1: 1999, wave 2: 2001-2002, wave 3: 2006-2007, wave 4: 2012-2013). Linear mixed effects models using BMI measured in all four study waves were performed, accounting for gender, race, length of residence, education and time-dependent age, and per capita family income.
View Article and Find Full Text PDFPLoS One
December 2024
School of Government, Universidad Adolfo Ibáñez, Santiago, Chile.
This study introduces a novel, replicable methodology for analyzing employment dynamics within public sector agencies, focusing on turnover and staff longevity. The methodology is designed to be generalizable and applicable to diverse national contexts where detailed administrative data is available. Using payroll data from over 325,000 Chilean civil servants (2006-2020), we apply mixed-effects Cox survival models and linear mixed models to examine patterns of employment stability across state agencies.
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