Habitus: beyond sociology

This paper presents a contribution of a set of interrelated innovative thinking to revitalize the sociological understanding of the notion of the habitus. It discusses contributions by sociologists exploring the sources of Bourdieu's inspiration from psychology and psychoanalysis to the development of the concept, and brings in new thinking inspired by authors and frameworks that branch out of sociology to bring into sociology fresher thinking. Three areas of concern about habitus are focused on: firstly, the objectivism and subjectivism dichotomy; secondly, the plasticity or rigidity of the concept; and thirdly, the implications of intangibles attached to the notion. The paper introduces a Special Section including five articles on theoretical and empirical explorations bringing exciting perspectives to creative and critical sociology.     

Log-Weibull extended regression model: Estimation,sensitivity and residual analysis

The failure rate function commonly has a bathtub shape in practice. In this paper we discuss a regression model considering new Weibull extended distribution developed by Xie et al. (2002) that can be used to model this type of failure rate function. Assuming censored data, we discuss parameter estimation: maximum likelihood method and a Bayesian approach where Gibbs algorithms along with Metropolis steps are used to obtain the posterior summaries of interest. We derive the appropriate matrices for assessing the local influence on the parameter estimates under different perturbation schemes, and we also present some ways to perform global influence. Also, some discussions on case deletion influence diagnostics are developed for the joint posterior distribution based on the Kullback–Leibler divergence. Besides, for different parameter settings, sample sizes and censoring percentages, are performed various simulations and display and compare the empirical distribution of the Martingale-type residual with the standard normal distribution. These studies suggest that the residual analysis usually performed in normal linear regression models can be straightforwardly extended to the martingale-type residual in log-Weibull extended models with censored data. Finally, we analyze a real data set under a log-Weibull extended regression model. We perform diagnostic analysis and model check based on the martingale-type residual to select an appropriate model.     

Convergence of long-term care planning and retirement planning at the work place

There is an increasing expectation that the private-sector should provide needed solutions to pressing problems in long-term care. Long-term care insurance has figured prominently in recent discussions. Within the long-term care insurance market, the potential of the employer in making such insurance available to employees has been discussed extensively. This paper traces the increasing convergence of retirement planning and long-term care planning at the work place. The long-term care insurance market has come a long way, and the employer-sponsored segment of the market has recorded the highest rate of growth in recent times. Furthermore, the employer-sponsored market is beginning to diversify. Low take-up rates still remain a problem. Recent rapid growth of the market coupled with the federal government's involvement as an employer offering long-term care insurance is bound to expand the market further.     

Wage dynamics and promotions inside and between firms

We focus on the dynamic relation between wage increases, promotions and job changes. In the empirical analyses, we use the Portuguese-matched employer–employee data Quadros de Pessoal. We find substantial wage returns to both promotions and job-to-job transitions. Our results are not consistent with models of full information and symmetric learning in a competitive and frictionless market. This might suggest that there is asymmetric information. An alternative explanation is that workers might search for a good match. Finally, we show that employer-reported promotions differ to a large extent from changes in hierarchical levels.     

Temporal disaggregation and restricted forecasting of multiple population time series

This article presents some applications of time-series procedures to solve two typical problems that arise when analyzing demographic information in developing countries: (1) unavailability of annual time series of population growth rates (PGRs) and their corresponding population time series and (2) inappropriately defined population growth goals in official population programs. These problems are considered as situations that require combining information of population time series. Firstly, we suggest the use of temporal disaggregation techniques to combine census data with vital statistics information in order to estimate annual PGRs. Secondly, we apply multiple restricted forecasting to combine the official targets on future PGRs with the disaggregated series. Then, we propose a mechanism to evaluate the compatibility of the demographic goals with the annual data. We apply the aforementioned procedures to data of the Mexico City Metropolitan Zone divided by concentric rings and conclude that the targets established in the official program are not feasible. Hence, we derive future PGRs that are both in line with the official targets and with the historical demographic behavior. We conclude that growth population programs should be based on this kind of analysis to be supported empirically. So, through specialized multivariate time-series techniques, we propose to obtain first an optimal estimate of a disaggregate vector of population time series and then, produce restricted forecasts in agreement with some data-based population policies here derived.     

The Touchard distribution

We present a novel model, which is a two-parameter extension of the Poisson distribution. Its normalizing constant is related to the Touchard polynomials, hence the name of this model. It is a flexible distribution that can account for both under- or overdispersion and concentration of zeros that are frequently found in non-Poisson count data. In contrast to some other generalizations, the Hessian matrix for maximum likelihood estimation of the Touchard parameters has a simple form. We exemplify with three data sets, showing that our suggested model is a competitive candidate for fitting non-Poisson counts.     

Design and technology in the development of potters' lathes for modeling with terracota: the case of Cabo de Santo Agostinho

This article reports the experience of the design team of the Laboratory The Imaginary in the process of developing an electric potter's lathe which respects the biomechanics of the body, helps to development the task, maintains the archetype of traditional equipment, and improves the mechanical efficiency of the power transmission system. The design method used was based on the axes of research, analysis, development and monitoring, and focused on the product and with partners: the artisans and engineering and production teams. The main results point to ergonomic improvements in the biomechanical and dimensional aspects, and a decrease in the risk of accidents and occupational diseases. The experience of this case also highlights the gains arising from the relationship between design, engineering and users (artisans) in developing products with a design that can be easily replicated for other communities of potters in the state. This and other actions are part of the outlook of the Laboratory the Imaginary which in partnership with local authorities, wishes to see the craft activities continue and to give value to the culture of the city.     

Ergonomic analysis of workplaces in the iron casting industrial pole in Claudio, Minas Gerais--Brazil

Brazil is currently recognized as the 10th largest producer of castings, and the city of Cláudio, MG is known worldwide as the "Greatest foundry and metallurgical pole in Latin America", with more than 80 companies. However, this large number of enterprises and increasing investments in product development has demanded an increase in manpower and working hours of workers in the sector, proportionally increasing the incidence of occupational related health problems like RSI (repetitive strain injury), WMSDs (work-related musculoskeletal disorders) and industrial accidents. This article aims to characterize the industry from previously conducted case studies to relate the main causes of occupational diseases and outline possible interventions through design, showing how this tool can contribute to improve the working environment, workplace, tools and equipment through ergonomics adjustments.