The doctor and the blue form: learning professional responsibility

Book synopsis: This book presents leading-edge perspectives and methodologies to address emerging issues of concern for professional learning in contemporary society. The conditions for professional practice and learning are changing dramatically in the wake of globalization, new modes of knowledge production, new regulatory regimes, and increased economic-political pressures. In the wake of this, a number of challenges for learning emerge: more practitioners become involved in interprofessional collaboration developments in new technologies and virtual workworlds emergence of transnational knowledge cultures and interrelated circuits of knowledge. The space and time relations in which professional practice and learning are embedded are becoming more complex, as are the epistemic underpinnings of professional work. Together these shifts bring about intersections of professional knowledge and responsibilities that call for new conceptions of professional knowing. Exploring what the authors call sociomaterial perspectives on professional learning they argue that theories that trace not just the social but also the material aspects of practice – such as tools, technologies, texts but also bodies and actions - are useful for coming to terms with the challenges described above. Reconceptualising Professional Learning develops these issues through specific contemporary cases focused on one of the book’s three main themes: (1) professionals’ knowing in practice, (2) professionals’ work arrangements and technologies, or (3) professional responsibility. Each chapter draws upon innovative theory to highlight the sociomaterial webs through which professional learning may be reconceptualised. Authors are based in Australia, Canada, Italy, Norway, Sweden, and the USA as well as the UK and their cases are based in a range of professional settings including medicine, teaching, nursing, engineering, social services, the creative industries, and more. By presenting detailed accounts of these themes from a sociomaterial perspective, the book opens new questions and methodological approaches. These can help make more visible what is often invisible in today’s messy dynamics of professional learning, and point to new ways of configuring educational support and policy for professionals

Layering in structural-functional grammars

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A Demand System Analysis of Food for Poor and Non Poor Households. The Case of Argentina

The purpose of this paper is to provide some microeconomics tools to discuss and evaluate public policies that imply transfers of income from the public sector to the poor and their impact on their food demand and calories and nutrient intakes. This study is concerned with the differences in subsistence expenditures, own-price elasticities and income elasticities for two households groups segmented by income: those people below the poverty guideline and those above it. The attention of our research is focused on a demand system for all food groups included in a National Consumption Survey and examines the household food consumption behavior by partitioning the sample. A complete system of demand equations, the Linear Expenditure System (LES), has been used due to its relative empirical expediency. Some additional econometric techniques to correct the bias in the parameter estimates were also applied because of the large number of zero observations in the data. Preliminary estimations following the procedure suggested in the Park et al. (1996) paper, gave some results that they were not as good as we expected and we finally use an alternative one based on Shonkwiler and Yen (1999).Food Demand System, Censored Sample, Own-Price and Income Elasticities, Poverty Status, Demand and Price Analysis,

Quality Warranties and Food Products in Argentina. What Do Consumers Believe In?

Consumers increasingly demand multiple-quality attributes in food products and value reliable means to identify them. For producers, the effective communication of their products quality is a marketing strategy. Therefore, another market of information associated with the new food markets emerges. This market is closely linked to the institutional environment and the level of trust in different information sources. In this article the emphasis will be put on how the different quality signals provided by the firms in their products affect the consumers´ behaviour. The objective is to investigate domestic consumers' perceptions and beliefs about food quality information in Argentina to identify the mechanisms that fully guarantee this quality. The results indicate that domestic consumers´ perceptions about high quality products are more related to brand names than seals and certifications in labels. This has consequences upon the competitiveness of domestic food market. Quality certification and seller´s reputation are quality warranties restringed only to certain domestic market niches. The households´situation and occupational status seem to be more complex variables that resume the interaction between attitudes, information-processing and actions.food quality, quality warranties, consumers, Argentina, Consumer/Household Economics, Food Consumption/Nutrition/Food Safety, D12, L15,

The Chanka: Archaeological Research in Andahuaylas (Apurimac), Peru

In AD 1438 a battle took place outside the city of Cuzco that changed the course of South American history. The Chanka, a powerful ethnic group from the Andahuaylas region, had begun an aggressive program of expansion. Conquering a host of smaller polities, their army had advanced well inside the territory of their traditional rival, the Inca. In a series of unusual maneuvers, the Inca defeated the invading Chanka forces and became the most powerful people in the Andes. Many scholars believe that the defeat of the Chanka represents a defining moment in the history of South America as the Inca then continued to expand and establish the largest empire of the Americas. Despite its critical position in South American history, until recently the Chanka heartland remained unexplored and the cultural processes that led to their rapid development and subsequent defeat by the Inca had not been investigated. From 2001 to 2004, Brian Bauer conducted an archaeological survey of the Andahuaylas region. This project represents an unparalleled opportunity to examine theoretical issues concerning the history and cultural development of late-prehistoric societies in this area of the Andes. The resulting book includes an archaeological analysis on the development of the Chanka and examines their ultimate defeat by the Inca. Series: Monographs 6

Detection of suspicious interactions of spiking covariates in methylation data

BACKGROUND: In methylation analyses like epigenome-wide association studies, a high amount of biomarkers is tested for an association between the measured continuous outcome and different covariates. In the case of a continuous covariate like smoking pack years (SPY), a measure of lifetime exposure to tobacco toxins, a spike at zero can occur. Hence, all non-smokers are generating a peak at zero, while the smoking patients are distributed over the other SPY values. Additionally, the spike might also occur on the right side of the covariate distribution, if a category "heavy smoker" is designed. Here, we will focus on methylation data with a spike at the left or the right of the distribution of a continuous covariate. After the methylation data is generated, analysis is usually performed by preprocessing, quality control, and determination of differentially methylated sites, often performed in pipeline fashion. Hence, the data is processed in a string of methods, which are available in one software package. The pipelines can distinguish between categorical covariates, i.e. for group comparisons or continuous covariates, i.e. for linear regression. The differential methylation analysis is often done internally by a linear regression without checking its inherent assumptions. A spike in the continuous covariate is ignored and can cause biased results. RESULTS: We have reanalysed five data sets, four freely available from ArrayExpress, including methylation data and smoking habits reported by smoking pack years. Therefore, we generated an algorithm to check for the occurrences of suspicious interactions between the values associated with the spike position and the non-spike positions of the covariate. Our algorithm helps to decide if a suspicious interaction can be found and further investigations should be carried out. This is mostly important, because the information on the differentially methylated sites will be used for post-hoc analyses like pathway analyses. CONCLUSIONS: We help to check for the validation of the linear regression assumptions in a methylation analysis pipeline. These assumptions should also be considered for machine learning approaches. In addition, we are able to detect outliers in the continuous covariate. Therefore, more statistical robust results should be produced in methylation analysis using our algorithm as a preprocessing step