Organizational processes and gender integration in operational military units: An Israel Defense Forces case study

This study examines collective action by men and women in operational military units deployed on Israel's borders. Gender integration is generally perceived by soldiers and commanders in these units as a trivial matter rather than an issue for discussion or a disadvantage. The integration results from organizational qualities, which include military leadership with accumulated experience in gender integration; division of labour between men and women that gradually develops during protracted training; screening processes within the units; and professional development of commanders. Our findings negate a large corpus of sociological literature on gender integration in military organizations. We discuss the micro‐social processes that enable or deter mixed‐gender integration in operational units. Our findings are presented as an alternative to arguments on the inevitable marginality of women in the military and that equality is neither a prerequisite of a cohesive mixed‐gender unit nor a barrier for the inclusion of women into combat units.     

On wavelet analysis of the nth order fractional Brownian motion

In this paper, we investigate the use of wavelet techniques in the study of the nth order fractional Brownian motion (n-fBm). First, we exploit the continuous wavelet transform??s capabilities in derivative calculation to construct a two-step estimator of the scaling exponent of the n-fBm process. We show, via simulation, that the proposed method improves the estimation performance of the n-fBm signals contaminated by large-scale noise. Second, we analyze the statistical properties of the n-fBm process in the time-scale plan. We demonstrate that, for a convenient choice of the wavelet basis, the discrete wavelet detail coefficients of the n-fBm process are stationary at each resolution level whereas their variance exhibits a power-law behavior. Using the latter property, we discuss a weighted least squares regression based-estimator for this class of stochastic process. Experiments carried out on simulated and real-world datasets prove the relevance of the proposed method.     

“Y,what do you think about what X just said?” Conversation analysis of stance-eliciting questions in open dialogue network meetings

Open dialogue is a resource-oriented approach to mental health, which aims to help those involved in a crisis situation support each other and engage in dialogue. While language use in open dialogue is generally characterized as being open-ended, nondirective, and nonevaluating on the professionals' side, little is known about the specific conversational features. The aim of this study was to analyze the interactional functions of a stance-eliciting question of the form: “Y, what do you think about what X just said?” We used conversation analysis (CA) to examine this in eight video-recorded Danish open dialogue network meetings. In CA, stance involves expressions of attitude, affect, or judgments about people or events. We describe the interactional functions of these stance-eliciting questions and discuss how clinicians used them as a tool for accomplishing neutrality. The findings can be used to gain a more nuanced understanding of open dialogue psychotherapeutic practices.     

Youth and their workers: the interacting subjectification effects of neoliberal social policy and NGO practice frameworks

The effects of neoliberalism on young people and youth workers through outsourcing government services has attracted critique from multiple sources. Post-structural analysis interrogates subjectification effects of these policies on youth. However, this kind of analysis of the governmental formation of youth ought to consider the interaction between the knowledge of youth underpinning neoliberal social policy, and those employed by non-government agencies implementing them. The interaction between these two shape the reciprocal governing activity within the young person and youth worker power–knowledge relationship that, this paper will argue, is an important factor in the critique of neoliberal social policy. Young people are governed by a diverse array of knowledges developed by government, youth studies, NGOs and young people themselves. These knowledges interact, reinforce and contradict discourses of youth work. This paper focuses on a neoliberal social policy (FLO) which constructs youth as a surplus population in need of risk management, and youth workers as the producers of young workers. Furthermore, I will consider the interfering subjectification effects produced by an intake and assessment tool (Your Story) utilised by a non-government FLO provider. These discourses underpinning Your Story and FLO render young people and their workers as relational beings or economic citizens respectively.     

Limited Nomination Reliability Using Single‐ and Multiple‐item Measures

This article examines a variety of reliability issues as related to limited nomination sociometric measures. Peer nomination data were collected from 77 sixth grade classrooms. Results showed that, although some single‐item peer nomination measures were relatively reliable, many single‐item peer nomination measures using limited nominations were quite unreliable. Overt aggression nomination items were the only set of single‐item measures where mean classroom reliability estimates were .75 or greater. Combining multiple items led to substantially better reliability, as combining the two least reliable items for a category into a single measure made the composite more reliable than the most reliable single measure. Having more nominators in the sample also increased reliability. The limited nomination items overall tended to be less reliable than similar unlimited nomination items from other studies. The authors end with recommendations for obtaining the most reliable peer nomination data possible from a study.     

Governing inter-organisational R&D supplier collaborations: a study at Jaguar Land Rover

This article discusses the importance of collaboration with suppliers and partners during research and development (R&D) technology projects. It details how this can be accomplished using the collaborative enterprise governance (CEG) concept to manage a technology project. CEG is based on the premise that parts of companies work with parts of other companies, which are reconfigured on dynamic bases according to a variety of different internal and external factors. This article presents an overview of the founding literature, the CEG and its methodology, and examples based at Jaguar Land Rover in the UK. CEG has been used here to explain why some technology projects have succeeded while others have done less well. This article concludes by offering new propositions, inducted through grounded theory, relating to the successful management of R&D projects, which should be picked up by future research studies in the area.     

Efficiency Measure from Dynamic Stochastic Production Frontier: Application to Tunisian Textile, Clothing, and Leather Industries

This paper adresses the measurement of technical efficiency of textile, clothing, and leather (TCL) industries in Tunisia through a panel data estimation of a dynamic translog production frontier. It provides a perspective on productivity and efficiency that should be instructive to a developing economy which will face substantial competitive pressure along the gradual economic liberalisation process. The importance of TCL industries in Tunisian manufacturing sector is a reason for obtaining more knowledge of productivity and efficiency for this key industry. Dynamic is introduced to reflect the production consequences of the adjustment costs, which are associated with changes in factor inputs. Estimation of a dynamic error components model is considered using the system generalized method of moments (GMM) estimator suggested by Arellano and Bover (1995), Another look at the instrumental-variable estimation of error-components models, J. Econometrics68:29-51) and Blundell and Bond (Blundell, R., Bond, S. (1998a), Initial conditions and moment restrictions in dynamic panel data models. J. Econometrics87:115-143; Blundell, R., Bond, S. (1998b), GMM estimation with persistent panel data: an application to production functions, Paper presented at the Eighth International Conference on Panel Data, Goteborg University). Our study evaluates the sensitivity of the results, particularly of the efficiency measures, to different specifications. Firm-specific time-invariant technical efficiency is obtained using the Schmidt and Sickles (Schmidt, P., Sickles, R. C. (1984). Production frontiers and panel data. J. Bus. Econ. Stat.2:367-374) approach after estimating the dynamic frontier. We stress the importance of allowing for lags in adjustment of output to inputs and of controlling for time-invariant variables when estimating firm-specific efficiency. The results suggest that the system GMM estimation of the dynamic specification produces the most accurate parameter estimates and technical efficiency measure. Mean efficiency scores is of 68%. Policy implications of the results are outlined.     

基于特性分类的矿区可持续发展模式研究

我国地域辽阔 ,矿区类型较多 ,表现出多样性、复杂性和发展道路的差异性。本文首先对矿区可持续发展的定义和具体内容进行了探讨 ,接着从两个维度对矿区进行了分类 ,并在此基础上对矿区作出了复合分类 ,对它的组合特性进行了研究 ,对它的发展道路选择问题作出了探讨