scholarly journals On international migration: A review essay

2017 ◽  
Vol 44 (3-4) ◽  
pp. 200
Author(s):  
Anthony C. Masi

International migration continues to reshape our world, sometimes in predictable ways, but often with unanticipated consequences. The four books reviewed here provide new information and important insights regarding migration and migrant adjustment. They do so either by dealing with the policy dimension of this vast topic (Freeman and Mirilovic; Phillimore) or by delving deeply into the issue of immigrant integration (Scholten et al.; Waters and Gerstein Pineau). These editors took four different approaches to their task: (1) a compilation of already published works on the topic (Phillimore); (2) original pieces on topics or countries but following a predetermined framework (Scholten, et al.); (3) chapters designed to test theories against available empirical information (Freeman and Mirilovic); and (4) a comprehensive group-written “state of the art” for a single country (Waters and Gerstein Pineau). Together, the books provide an impressive array of scholarship from a variety of disciplinary perspectives on the links between migration and social policy and on immigrant integration.

Author(s):  
Dimitri Gugushvili ◽  
Tijs Laenen

Abstract Over two decades ago, Korpi and Palme (1998) published one of the most influential papers in the history of social policy discipline, in which they put forward a “paradox of redistribution”: the more countries target welfare resources exclusively at the poor, the less redistribution is actually achieved and the less income inequality and poverty are reduced. The current paper provides a state-of-the-art review of empirical research into that paradox. More specifically, we break down the paradox into seven core assumptions, which together form a causal chain running from institutional design to redistributive outcomes. For each causal assumption, we offer a comprehensive and critical review of the relevant empirical literature, also including a broader range of studies that do not aim to address Korpi and Palme’s paradox per se, but are nevertheless informative about it.


2012 ◽  
Vol 11 (4) ◽  
pp. 589-599 ◽  
Author(s):  
Grace Davie

This article places the British material on religion and social policy in a comparative perspective. In order to do so, it introduces a recently completed project on welfare and religion in eight European societies, entitled ‘Welfare and Religion in a European Perspective’. Theoretically it draws on the work of two key thinkers: Gøsta Esping-Andersen and David Martin. The third section elaborates the argument: all West European societies are faced with the same dilemmas regarding the provision of welfare and all of them are considering alternatives to the state for the effective delivery of services. These alternatives include the churches.


2021 ◽  
Vol 119 ◽  
pp. 03004
Author(s):  
Zakia Saoura ◽  
Ahmed Abriane ◽  
Aniss Moumen

According to the 2017 Global Entrepreneurship Monitor report, there are 6.5 million adults aged 18-64 planning to start an entrepreneurial career by 2020. However, the gap between attempt and effective creations remains one of the largest within Arab countries (40% versus 9%). Given these statistics, we ask the question about the profile of the Moroccan entrepreneur. In this paper, we opted for a quantitative research methodology on an exploratory sample. We distributed a questionnaire to a sample of eighty Moroccan entrepreneurs representing different regions of Morocco. The objective of our study is to validate a measurement scale of three dimensions: 1/ entrepreneurial motivations, 2/ skills, and 3/ behaviour in the Moroccan context. To do so, we present, in the first part, a literature review on digital entrepreneurship. Then, we establish a state of the art of entrepreneurship in Morocco. Then, we show our methodology. Finally, we reveal and discuss the results of our study.


1994 ◽  
Vol 34 (1) ◽  
pp. 4-20 ◽  
Author(s):  
W Barnett ◽  
M Spitzer

The purpose of this article is to review the whole literature on pathological fire-setting and related fields since 1951 in order to present a state of the art picture of our contemporary knowledge about this phenomenon. Papers were initially selected by using a Medline search. From the articles obtained in this way the references had to be pursued, because many relevant papers and books in this research field of different scientific and practical disciplines are not listed in conventional literature services. Finally, only those contributions were selected which provided new information when published, by original research, theoretical interpretation or practical implications. The last forty years have brought a growing body of data and understanding — especially concerning pathogical fire-setting by children — etiology, and therapy, which often proves successful. The situation remains unclear for arson by psychologically disturbed adults and we still have a poor understanding of arson without apparent motive. There is a conflict of opinion as to whether adult fire-setters are suitable for therapy and therapeutic efforts dealing with psychologically disturbed adults are rare. With increasing knowledge about child fire-setting and its successful treatment, etiological and therapeutic models for adult fire-setting behaviour may be developed. Research into the latter area should focus on both biographical and social conditions of development from childhood on as well as biological measures. Both will be reviewed here.


2021 ◽  
Vol 42 (12) ◽  
pp. 124101
Author(s):  
Thomas Hirtz ◽  
Steyn Huurman ◽  
He Tian ◽  
Yi Yang ◽  
Tian-Ling Ren

Abstract In a world where data is increasingly important for making breakthroughs, microelectronics is a field where data is sparse and hard to acquire. Only a few entities have the infrastructure that is required to automate the fabrication and testing of semiconductor devices. This infrastructure is crucial for generating sufficient data for the use of new information technologies. This situation generates a cleavage between most of the researchers and the industry. To address this issue, this paper will introduce a widely applicable approach for creating custom datasets using simulation tools and parallel computing. The multi-I–V curves that we obtained were processed simultaneously using convolutional neural networks, which gave us the ability to predict a full set of device characteristics with a single inference. We prove the potential of this approach through two concrete examples of useful deep learning models that were trained using the generated data. We believe that this work can act as a bridge between the state-of-the-art of data-driven methods and more classical semiconductor research, such as device engineering, yield engineering or process monitoring. Moreover, this research gives the opportunity to anybody to start experimenting with deep neural networks and machine learning in the field of microelectronics, without the need for expensive experimentation infrastructure.


2012 ◽  
pp. 1824-1839
Author(s):  
Mirella M. Moro ◽  
Taisy Weber ◽  
Carla M.D.S. Freitas

Many communities have been concerned with the problem of bringing more girls to technology and science related areas. The authors believe that the first step in order to solve such a problem is to understand the current situation, like to investigate the “state-of-the-art” of the problem. Therefore, in this chapter, they present the first study to identify which areas of Computer Science have more and less feminine participation. In order to do so, they have considered the program committees of the Brazilian conferences in those areas. The authors’ study evaluates the 2008 and previous editions of such conferences. They also discuss some Brazilian initiatives to bring more girls to Computer Science as well present what else can be done.


Author(s):  
Yi Song ◽  
Xuesong Lu ◽  
Sadegh Nobari ◽  
Stéphane Bressan ◽  
Panagiotis Karras

One is either on Facebook or not. Of course, this assessment is controversial and its rationale arguable. It is nevertheless not far, for many, from the reason behind joining social media and publishing and sharing details of their professional and private lives. Not only the personal details that may be revealed, but also the structure of the networks are sources of invaluable information for any organization wanting to understand and learn about social groups, their dynamics and members. These organizations may or may not be benevolent. It is important to devise, design and evaluate solutions that guarantee some privacy. One approach that reconciles the different stakeholders’ requirement is the publication of a modified graph. The perturbation is hoped to be sufficient to protect members’ privacy while it maintains sufficient utility for analysts wanting to study the social media as a whole. In this paper, the authors try to empirically quantify the inevitable trade-off between utility and privacy. They do so for two state-of-the-art graph anonymization algorithms that protect against most structural attacks, the k-automorphism algorithm and the k-degree anonymity algorithm. The authors measure several metrics for a series of real graphs from various social media before and after their anonymization under various settings.


1996 ◽  
Vol 1996 ◽  
pp. 1-1
Author(s):  
C H Knight

State of the art milk production encourages an intensive system of maximising peak milk yield and minimising calving interval, epitomized by the 40 kg peak daily production and 10,000 kg 305 d lactation yield of a well bred, well fed Holstein. Given good management, milk yield typically declines at approximately 2% per week. It requires only a simple calculation to show, therefore, that this same cow would still be yielding around 20 kg of milk daily at 2 months before calving. The dilemma for the farmer is whether to dry her off or not, and if he is sensible he will probably do so. However, if he is really clever he will then change his rebreeding policy!


2019 ◽  
Vol 19 (1-2) ◽  
pp. 87-104 ◽  
Author(s):  
Alexandra Kaasch ◽  
Martin Koch ◽  
Kerstin Martens

Global Social Policy (GSP) has established itself as a distinct field of research over the past 25 years. Without doubt one of the leading figure to this advancement was Bob Deacon. He integrated several explanations and approaches into social policy research that had so far been distinct in other disciplinary fields, including concepts of International Relations (IR). That allowed to explain more about policy autonomy, inter-action between actors at the global level and potential impacts of international organisations on national social policies. Combining IR, organisational studies and GSP, this article wants to go a step further in this vein of GSP theoretical studies. We seek to make a contribution by running through a number of recently popular inter-organisational relations approaches within an IR context, and discuss how, and to what extent, they can be used to make more profound theoretical claims about the nature of GSP. The article first summarises the state of the art in GSP research with a view on international actors, particularly international organisations. Then we describe the specific characteristics of international organisations in existing GSP research and provide a number of theoretical considerations from organisational studies as part of IR scholarship that help construct a more nuanced understanding of how global actors function and interact. We link the theoretical accounts to empirical examples from the GSP literature, and detect what, and how, approaches and frames from this field may usefully tackle challenges GSP scholarship is facing.


Entropy ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. 1124
Author(s):  
Payam Shahsavari Baboukani ◽  
Carina Graversen ◽  
Emina Alickovic ◽  
Jan Østergaard

We propose a new estimator to measure directed dependencies in time series. The dimensionality of data is first reduced using a new non-uniform embedding technique, where the variables are ranked according to a weighted sum of the amount of new information and improvement of the prediction accuracy provided by the variables. Then, using a greedy approach, the most informative subsets are selected in an iterative way. The algorithm terminates, when the highest ranked variable is not able to significantly improve the accuracy of the prediction as compared to that obtained using the existing selected subsets. In a simulation study, we compare our estimator to existing state-of-the-art methods at different data lengths and directed dependencies strengths. It is demonstrated that the proposed estimator has a significantly higher accuracy than that of existing methods, especially for the difficult case, where the data are highly correlated and coupled. Moreover, we show its false detection of directed dependencies due to instantaneous couplings effect is lower than that of existing measures. We also show applicability of the proposed estimator on real intracranial electroencephalography data.


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