Area-based partnerships in rural Poland: The post-accession experience

The paper examines the characteristics of area-based partnerships in rural Poland. It is based on the study of partnerships created after the accession to the European Union in 2004. Partnership structures have been rapidly adopted in rural Poland due to opportunities provided by the LEADER+ Pilot Programme. However, the research showed that partnerships are frequently subject to elite domination by local authorities and hence fail to fully engage a range of community and private sector actors. Funding rules for LEADER, most notably the condition that money will only be paid on the completion of projects, has been particularly significant in perpetuating the domination of partnerships by organisations with existing access to financial and human capital. Hence funding arrangements can undermine the ability of Polish partnerships to operate in ways which harness the endogenous capacities of local communities. To date power differentials between notional ‘partners’ have been experienced to a greater extent than in advanced liberal democracies. The research found that overt domination of partnership structures by state agencies limited the possibilities for community led development initiative in rural Poland.     

Extending conditional likelihood in models for stratified binary data

The conditional likelihood is widely used in logistic regression models with stratified binary data. In particular, it leads to accurate inference for the parameters of interest, which are common to all strata, eliminating stratum-specific nuisance parameters. The modified profile likelihood is an accurate approximation to the conditional likelihood, but has the advantage of being available for general parametric models. Here, we propose the modified profile likelihood as an ideal extension of the conditional likelihood in generalized linear models for binary data, with generic link function. An important feature is that for the implementation we only need standard outputs of routines for generalized linear models. The accuracy of the method is supported by theoretical properties and is confirmed by simulation results.This research was supported by MIUR COFIN 2001-2003.     

What do the parents of tomorrow know about child care? A survey of 14–16 year olds

What do the parents of tomorrow know about child care? This study aimed to obtain a baseline measurement of child care knowledge, to ascertain any differences in knowledge between adolescents with and without mild to moderate learning difficulties (MLD). In addition, we were interested to establish the effect of school nurse health education health input on knowledge in the learning difficulties subgroup. Assessment was by self‐completed questionnaire and interview of a random sample of 14–16 year olds attending mainstream and special schools. Sixty pupils from secondary school and 33 from a MLD school took part in the study. Pupil knowledge in basic parenting and child care was dependent on the type of school attended, reading ability of those attending the MLD school and the provision of health education in the special school by the school nurse. No associations were found between pupils knowledge and their gender, family position or family size. Pupils from both schools scored lower in the areas of health service organisation and personnel, health promotion and management of common childhood conditions. Adolescents have insufficient knowledge of basic child care and services available for new parents. The effect of school based health education in these areas is promising. Copyright © 2001 John Wiley & Sons, Ltd.     

Transnational women’s activism in Japan and Korea:the unresolved issue of military sexual slavery

This article is about the transnational links formed between the Korean and Japanese women‘s movements in their campaign on behalf of the victims of ‘military sexual slavery’ during the Second World War. There is a growing literature that examines such networks. Yet, a deeper understanding of the emergence and activities of transnational advocacy networks is needed, particularly in the context of political opportunity structures. Social scientists who have developed the concept of political opportunity structures have, however, not provided a gender‐specific analysis of these. Of particular interest is the exploration of the role played by gender in an international human rights discourse as a political opportunity structure for women’s groups in Korea and Japan. This article, thus, explores the ways in which the feminist movements in Korea and Japan have made use of transnational legal means in politicizing and popularizing the issue of ‘military sexual slavery’ at both regional and global scales.     

Employment with Alternative Incentive Schemes when Effort is Not Verifiable

Abstract. This paper compares macroeconomic results related to efficiency wages, contracts with bonus and tournaments in a framework with unverifiable effort. When effort is fully observable, both contracts with bonus and tournaments, unlike efficiency wages, solve the incentive problem without generating involuntary unemployment. Only tournaments, however, allow attainment of the Pareto optimal employment level. If effort is not fully observable, previous results must, to some extent, be reconsidered. Contracts with bonus also produce involuntary unemployment, while tournaments, in addition to continuing to produce a higher level of employment, generate involuntary unemployment only if a shirker who is not caught has some probability of winning.     

Diverging patterns of interaction around news on social media: insularity and partisanship during the 2018 Italian election campaign

ABSTRACT

The paper considers how social media ecologies are affecting partisan engagement around political news and online attention economies by investigating the case of the 2018 Italian general election. By analyzing Twitter and Facebook interactions around political news in the lead-up to the election, we shed light on levels of insularity characterizing sources preferred by different partisan communities and investigate how specific patterns of active attention emerge around different sources and around stories proposing different framing of specific political actors. Our findings indicate that, on Twitter, sources mainly shared by supporters of populist parties (the Five Star Movement and the League) are characterized by higher levels of insularity compared to those shared by supporters of other parties. We also find that, on Facebook, news items published by highly insular sources receive a higher number of shares per comment. Finally, our analyses show that news presenting a positive framing of the Five Star Movement – the unique ‘cyber party’ in the system – receives a higher number of shares per comment compared to items presenting the Movement in a negative light, while the opposite is true for stories on all other political parties.     

Immigrants’ Children’s Transition to Secondary School in Italy

Choosing a secondary school represents an important step in the lives of students in Italy, in that it has a strong bearing on their ultimate educational achievement and labor force trajectory. In this article, we analyze the effect of generational status and length of residence on the transition to secondary school among immigrants living in Italy. Using data from the ITAGEN2 follow‐up, we analyze scholastic results from the middle school final exam and the choice of secondary school among the adolescents in Italy. Children of immigrants are more likely to have inferior outcomes on the middle school exam and to enroll in vocational and polytechnic schools. Our multivariate results indicate that, after controlling for the family’s human capital and other key background factors, immigrant students show greater propensity to choose a vocational path. Differences between immigrants and natives in secondary school tracks are also manifested when previous scholastic results are taken into account.     

A Critical Discussion and Practical Recommendations on Some Issues Relevant to the Nonprobabilistic Treatment of Uncertainty in Engineering Risk Assessment

Models for the assessment of the risk of complex engineering systems are affected by uncertainties due to the randomness of several phenomena involved and the incomplete knowledge about some of the characteristics of the system. The objective of this article is to provide operative guidelines to handle some conceptual and technical issues related to the treatment of uncertainty in risk assessment for engineering practice. In particular, the following issues are addressed: (1) quantitative modeling and representation of uncertainty coherently with the information available on the system of interest; (2) propagation of the uncertainty from the input(s) to the output(s) of the system model; (3) (Bayesian) updating as new information on the system becomes available; and (4) modeling and representation of dependences among the input variables and parameters of the system model. Different approaches and methods are recommended for efficiently tackling each of issues (1)?(4) above; the tools considered are derived from both classical probability theory as well as alternative, nonfully probabilistic uncertainty representation frameworks (e.g., possibility theory). The recommendations drawn are supported by the results obtained in illustrative applications of literature.