The curious under‐representation of women impact case leaders: Can we disengender inequality regimes?

Universities are increasingly expected to demonstrate the wider societal impacts of academic research. Yet women management scholars were disproportionately under‐represented in leading impact cases in the UK's REF (Research Excellence Framework) 2014. An analysis of 395 REF impact cases for business and management studies with an identifiable lead author revealed that only 25 per cent were led by women, of which 54 per cent were sole authored. Based on 12 in‐depth interviews with women impact case writers, we use Acker's inequality regimes framework to understand invisible and socially constructed gendering of the UK's policy that is designed to evaluate research impact. In a knowledge‐intensive workplace dominated by men, the shape and degree of gendered bases of inequality, systemic practices, processes and controls result in sub‐optimal talent management and gendered knowledge. We call for university leaders to be proactive in addressing barriers that fail to support or recognize women's leadership of research impact

Male/Female Is Not Enough: Adding Measures of Masculinity and Femininity to General Population Surveys

Survey research and sociological theory each provide insights into how and why people and groups act, think, and feel. Sociological theories identify what concepts are important for understanding and representing the social world. That is, sociological theories inform what to measure in surveys, and, to a certain extent, how to measure it. Survey research permits sociologists to carefully specify what is to be measured vis a vis sociological theory, setting surveys apart as a social research tool. It is this level of specification of concepts and measures that allow surveys to provide continued value at a time when “big data” proliferate. High quality survey measurement and estimation is necessary for sociologists to evaluate sociological theory among generalizable samples with well-developed questions, leading to further refinement and improvement of the theory and improved understanding of the social world. High quality surveys also provide insights into where sociological theories fail and where they must be adjusted for different subgroups, as well as basic insights into the prevalence of outcomes of interest. Together, sociological theory and survey methods produce insights about society that can inform decision-making and social policy. This mutually reinforcing relationship between sociological theory and survey methods requires sociological theory to evolve from insights obtained using survey methods and survey measurement to evolve with advances in in sociological theory. The measurement of sex and gender in surveys is one area where the development of survey measures has not kept pace with sociological theory and empirical, largely qualitative, findings. Contemporary gender theory sees sex and gender as separate concepts, both of which are important for understanding behaviors and outcomes. Yet, virtually all contemporary surveys measure sex as a binary “male” versus “female” categorization and fail to measure gender, ignoring important heterogeneity in gender identification that may exist within sex categories and any overlap that may occur across categories. Both gender scholars and survey researchers are potentially affected by this shortcoming of modern survey measurement. Gender scholars lose an important tool for assessing gender theories, especially on generalizable samples, risking conclusions that are specific to a small group of individuals rather than the population at large. Survey researchers risk producing theoretically obsolete data, limiting the utility of the data or potentially generating misleading conclusions. Survey data that fail to capture and reflect modern and complex understandings of our social realities also face increased risk of being replaced by “big data” such as administrative and social media data. Survey data that do reflect modern and complex understandings can bring value not available in administrative or other data and are therefore unlikely to be replaced. This paper is part of a growing chorus advocating for updates to how modern surveys measure sex and gender. We argue that the reliance on a single binary measure of sex (male or female) is out of step with current sociological understandings of sex and gender. In response, we propose and test a new theoretically-informed gradational measure of gender identification in a nationally representative mail survey. We evaluate whether respondents answer the gender measure and examine the reliability and predictive validity of the measure. In particular, we examine whether measuring gender gradationally adds explanatory value beyond sex on important social outcomes such as sexuality, childcare, grocery shopping, housework, working for pay, and military service. We also examine whether sex moderates the effect of gender identification in the ways that sociological theory would suggest on these outcomes

The Perils of Gender Beliefs for Men Leaders as Change Agents for Gender Equality

This article examines the potentially damaging role that gender beliefs can play in hindering women's equal representation in leadership positions. Based on a secondary analysis of a large‐scale EU‐wide survey (Eurobarometer 76.1), the article shows that essentialist gender beliefs lower support for equality interventions such as quotas or targets, particularly among men as leaders. The results show that discriminatory gender beliefs partially mediate this relationship and produce a more negative effect among men leaders. The paper contributes to understanding the role essentialist gender beliefs often lay the groundwork for gender discriminatory beliefs. Those in turn hinder support for effective gender equality measures. Gender essentialist beliefs can be held by everyone but are more prevalent among men leaders. We conclude that greater gender balance in leadership cannot be achieved without tackling underlying gender beliefs, particularly among men leaders since they are called upon to enact change. We thereby argue that simply asking for men to become change agents for gender equality is not an effective strategy if underlying gender beliefs are left unchallenged

Missing Links: Referrer Behavior and Job Segregation

How does referral recruitment contribute to job segregation, and what can organizations do about it? Current theory on network effects in the labor market emphasizes the job-seeker perspective, focusing on the segregated nature of job-seekers’ information and contact networks, and leaves little role for organizational influence. But employee referrals are necessarily initiated from within a firm by referrers. We argue that referrer behavior is the missing link that can help organizations manage the segregating effects of referring. Adopting the referrer’s perspective of the process, we develop a computational model which integrates a set of empirically documented referrer behavior mechanisms gleaned from extant organizational case studies. Using this model, we compare the segregating effects of referring when these behaviors are inactive to the effects when the behaviors are active. We show that referrer behaviors substantially boost the segregating effects of referring. This impact of referrer behavior presents an opportunity for organizations. Contrary to popular wisdom, we show that organizational policies designed to influence referrer behaviors can mitigate most if not all of the segregating effects of referring

Interactions and Mobility Edges: Observing the Generalized Aubry-Andre Model

Using synthetic lattices of laser-coupled atomic momentum modes, we experimentally realize a recently proposed family of nearest-neighbor tight-binding models having quasiperiodic site energy modulation that host an exact mobility edge protected by a duality symmetry. These one-dimensional tight-binding models can be viewed as a generalization of the well-known Aubry-Andre model, with an energy-dependent self-duality condition that constitutes an analytical mobility edge relation. By adiabatically preparing low and high energy eigenstates of this model system and performing microscopic measurements of their participation ratio, we track the evolution of the mobility edge as the energy-dependent density of states is modified by the model's tuning parameter. Our results show strong deviations from single-particle predictions, consistent with attractive interactions causing both enhanced localization of the lowest energy state due to self-trapping and inhibited localization of high energy states due to screening. This study paves the way for quantitative studies of interaction effects on self-duality induced mobility edges

თუშეთის ხედი

Item does not contain fulltex