The Impact of Liberalization on Female Workers in Quebec: Four Case Studies

Cet article explore l'impact de la libéralisation des marchés sur la main‐d'?uvre féminine au Québec. Il cherche à valider une intuition formulée par Brunelle, Beaulieu and Minier ( 2004 ) en guise de conclusion d'un rapport de recherche mettant en relief l'essor et la prolifération des marchés périphériques du travail dans le capitalisme mondialisé. Parce qu'elles sont surreprésentées dans le travail atypique, les auteurs se demandaient alors si la restructuration des marchés du travail avait des impacts négatifs les femmes. En nous appuyant sur quatre études de cas dans différents secteurs de l'économie (habillement, commerce de détail, télécommunications, services d'aide à domicile), l'article valide l' hypothèse d'une rehiérarchisation genrée du marché du travail sur la base de statuts d'emploi dans le sillage du processus de libéralisation. The article explores the impact of market liberalization on Quebec's female workforce in a context of global capitalism by testing a hypothesis formulated by Brunelle, Beaulieu, and Minier ( 2004 ) as a concluding remark of a research that exposed the burgeoning of secondary labor market: “Is liberalization leading to an employment‐statuses‐based restructuration of labor markets that would have negative impacts on women?” Using four case studies in key sectors of the economy (garments, retail, telecom, home‐care services), the article suggests a genderized rehierarchization of labor markets based on employment statuses in the wake of the liberalization process.     

Non‐parametric interval estimation for the partial area under the ROC curve

Accurate diagnosis of disease is a critical part of health care. New diagnostic and screening tests must be evaluated based on their abilities to discriminate diseased conditions from non‐diseased conditions. For a continuous‐scale diagnostic test, a popular summary index of the receiver operating characteristic (ROC) curve is the area under the curve (AUC). However, when our focus is on a certain region of false positive rates, we often use the partial AUC instead. In this paper we have derived the asymptotic normal distribution for the non‐parametric estimator of the partial AUC with an explicit variance formula. The empirical likelihood (EL) ratio for the partial AUC is defined and it is shown that its limiting distribution is a scaled chi‐square distribution. Hybrid bootstrap and EL confidence intervals for the partial AUC are proposed by using the newly developed EL theory. We also conduct extensive simulation studies to compare the relative performance of the proposed intervals and existing intervals for the partial AUC. A real example is used to illustrate the application of the recommended intervals. The Canadian Journal of Statistics 39: 17–33; 2011 © 2011 Statistical Society of Canada     

The Loss Rank Criterion for Variable Selection in Linear Regression Analysis

Abstract. Lasso and other regularization procedures are attractive methods for variable selection, subject to a proper choice of shrinkage parameter. Given a set of potential subsets produced by a regularization algorithm, a consistent model selection criterion is proposed to select the best one among this preselected set. The approach leads to a fast and efficient procedure for variable selection, especially in high‐dimensional settings. Model selection consistency of the suggested criterion is proven when the number of covariates d is fixed. Simulation studies suggest that the criterion still enjoys model selection consistency when d is much larger than the sample size. The simulations also show that our approach for variable selection works surprisingly well in comparison with existing competitors. The method is also applied to a real data set.     

Simplex Mixed‐Effects Models for Longitudinal Proportional Data

Abstract. Continuous proportional outcomes are collected from many practical studies, where responses are confined within the unit interval (0,1). Utilizing Barndorff‐Nielsen and Jørgensen's simplex distribution, we propose a new type of generalized linear mixed‐effects model for longitudinal proportional data, where the expected value of proportion is directly modelled through a logit function of fixed and random effects. We establish statistical inference along the lines of Breslow and Clayton's penalized quasi‐likelihood (PQL) and restricted maximum likelihood (REML) in the proposed model. We derive the PQL/REML using the high‐order multivariate Laplace approximation, which gives satisfactory estimation of the model parameters. The proposed model and inference are illustrated by simulation studies and a data example. The simulation studies conclude that the fourth order approximate PQL/REML performs satisfactorily. The data example shows that Aitchison's technique of the normal linear mixed model for logit‐transformed proportional outcomes is not robust against outliers.     

Nonparametric adaptive likelihood weights

The weighted likelihood can be used to make inference about one population when data from similar populations are available. The author shows heuristically that the weighted likelihood can be seen as a special case of the entropy maximization principle. This leads him to propose the minimum averaged mean squared error (MAMSE) weights. He describes an algorithm for calculating these weights and shows its convergence using the Kuhn‐Tucker conditions. He explores the performance and properties of the weighted likelihood based on MAMSE weights through simulations.     

The Extended Skew-Exponential Power Distribution and Its Derivation

We consider an extended family of asymmetric univariate distributions generated using a symmetric density, f, and the cumulative distribution function, G, of a symmetric distribution, which depends on two real-valued parameters λ and β and is such that when β = 0 it includes the entire class of distributions with densities of the form g(z | λ) = 2 G(λ z) f(z). A key element in the construction of random variables distributed according to the family is that they can be represented stochastically as the product of two random variables. From this representation we can readily derive theoretical properties, easy-to-implement simulation schemes, as well as extensions to the multivariate case and an explicit procedure for obtaining the moments. We give special attention to the extended skew-exponential power distribution. We derive its information matrix in order to obtain the asymptotic covariance matrix of the maximum likelihood estimators. Finally, an application to a real data set is reported, which shows that the extended skew-exponential power model can provide a better fit than the skew-exponential power distribution.     

Integrating Spirituality into MFT Training: A Reflexive Curriculum and Qualitative Evaluation

When clients enter the therapy room they bring unique spiritual beliefs and values in with them; however, marital and family therapists (MFTs) often lack training to assist in this important area of diversity. Current training recommendations encourage therapists to explore their own spirituality to identify personal limitations that may occlude positive client outcomes; however very little information exists on the implementation and usefulness of this type of training. This article will describe a curriculum and report results from a qualitative study of students who participated in a reflexive spirituality practicum course offered in a COAMFTE accredited doctoral program at a private, religious institution. Through this, we hope to provide a training model to further spiritual integration activities in MFT.     

Couple Differentiation: Mediator or Moderator of Depressive Symptoms and Relationship Satisfaction?

The purpose of this investigation was to determine whether differentiation at the couple level would act as a moderator or a mediator in the association between marital satisfaction and depressive symptoms over time. In a sample of 412 couples, a latent profile analysis was performed to determine how couple differentiation scores were clustered. An Actor/Partner Interdependence Model was then estimated via a group comparison procedure in structural equation modeling. There was no evidence of a moderating effect of differentiation. A mediating model was then estimated and there was evidence that differentiation mediated the association between depressive symptoms and relationship satisfaction via actor and partner effects.     

Gendered work culture in free/libre open source software development

This article adopts a feminist perspective to examine masculine work culture in the development of free/libre open source software. The authors draw on a case study of the ‘Heidi bug’ discovered during the development of the Mozilla Firefox web browser to examine how ‘gendered talk’ was (en)‐acted to facilitate ‘bricolage’ in an online work environment. Such gendered talks contain cultural references familiar to male developers. Though seemingly innocuous, such acts could be seen as a performance of gender that simply reflects the hegemonic heterosexual masculine culture manifested in an online virtual work space. The virtual work space therefore can be exclusive to those who shared the cultural references. Although it may not necessarily be ignorance or insensitivity of male developers, a more gender‐balanced, women‐friendly and inclusive workplace certainly would benefit from a more diverse environment. This article highlights the gendered aspect of software development through examining the language use and mainstream ‘bricolage’ practice, and establishes a compelling ground for enlarging the talent pool to include more women and integrating gender ethics (e.g., raising awareness of sensitive language and design approaches) into computer ethics education.