Resilience for gender inclusion: Developing a model for women in male-dominated occupations

What is resilience in the context of work environments where women face barriers as significant as career discrimination and harassment? In such a context, is resilience an individual responsibility? How can organizations contribute to and support employee resilience? And where is gender in this equation? This conceptual paper explores these questions using aviation, the skilled trades (i.e., carpentry, welding, plumbing) and the military as case studies to understand how gender inclusion could be better supported by resilient organizations. The barriers for women in male-dominated industries include social exclusion, marginalization, discrimination, harassment, and other forms of social closure. How these barriers can be overcome is not well understood. We argue that individual resilience plays a part in women thriving and developing enduring careers but can only occur in combination with support from gender inclusion strategies and organizational resilience. We have developed the Resilience for Gender Inclusion (RGI) model combining gender inclusion strategies with organizational resilience strategies. The RGI model demonstrates how employee and organizational resilience intersect and may lead to the transformative potential of inclusive cultures of diversity. This will improve employee wellbeing and self-efficacy and create a much needed sense of belonging and social inclusion for women in male-dominated occupations.     

Eliciting and Combining Decision Criteria Using a Limited Palette of Utility Functions and Uncertainty Distributions: Illustrated by Application to Pest Risk Analysis

Utility functions in the form of tables or matrices have often been used to combine discretely rated decision‐making criteria. Matrix elements are usually specified individually, so no one rule or principle can be easily stated for the utility function as a whole. A series of five matrices are presented that aggregate criteria two at a time using simple rules that express a varying degree of constraint of the lower rating over the higher. A further nine possible matrices were obtained by using a different rule either side of the main axis of the matrix to describe situations where the criteria have a differential influence on the outcome. Uncertainties in the criteria are represented by three alternative frequency distributions from which the assessors select the most appropriate. The output of the utility function is a distribution of rating frequencies that is dependent on the distributions of the input criteria. In pest risk analysis (PRA), seven of these utility functions were required to mimic the logic by which assessors for the European and Mediterranean Plant Protection Organization arrive at an overall rating of pest risk. The framework enables the development of PRAs that are consistent and easy to understand, criticize, compare, and change. When tested in workshops, PRA practitioners thought that the approach accorded with both the logic and the level of resolution that they used in the risk assessments.     

Personal assistance: what happens to the arrangement when the number of users increases and new user groups are included?

Using data from two representative surveys among the users of personal assistance in Norway carried out in 2002 and 2010, this paper examines developments and consequences of a strong increase of users and an extension of the target group. Users with mobility impairments still dominate, but the proportion of people with intellectual impairments, brain injuries, and sensory impairments have increased. The ‘new' users seem to be allocated fewer hours compared with those who received personal assistance at the early stages of the arrangement. Still, most users experience an increase in their welfare arrangements, as compared with the situation before they received personal assistance. The user control of the arrangement seems to be preserved, but it takes more different forms. For a higher proportion of users, one of their relatives or a guardian acts as a manager of the assistance.     

Exact and Approximate Distributions of the Maximum Likelihood Estimate in a Simple Factor Analysis Model

We study a factor analysis model with two normally distributed observations and one factor. In the case when the errors have equal variance, the maximum likelihood estimate of the factor loading is given in closed form. Exact and approximate distributions of the maximum likelihood estimate are considered. The exact distribution function is given in a complex form that involves the incomplete Beta function. Approximations to the distribution function are given for the cases of large sample sizes and small error variances. The accuracy of the approximations is discussed     

CRITICAL PERIODS DURING CHILDHOOD AND ADOLESCENCE

We identify the ages that constitute sensitive (or critical) periods in children's development towards their adult health status, skills, and human capital. For this, we use data on families migrating into Sweden from countries that are poorer, with less healthy conditions. Late‐life health is proxied by adult height and other adult outcomes. The relation between siblings’ ages at migration and their adult outcomes allows us to estimate the causal effect of conditions at specific childhood ages. We effectively exploit that, for siblings, the migration occurs simultaneously in calendar time but at different developmental stages (ages). We find evidence that the period just before the puberty growth spurt constitutes a critical period for adult height and we find related critical periods for adult cognition, mental health, and education.