Labour and international accounting standards: A question of social justice

As the international guardian of social justice, the ILO is witnessing a global revolution in accounting, which has culminated in international accounting standards (IAS-IFRS). Previously, accounting measured the economy in relation to the capacities and responsibilities of workers and their employers. Today, the exact opposite is the case: the IAS-IFRS no longer measure work and enterprises, referring instead to the abstract concept of a cybernetic entity capable of constant restructuring, at the cost of unprecedented inequality. The author points to the incoherence of this system and to the need to restore the full carrying value of labour.     

Women Underrepresentation in R&I: A Sector Program Assessment of the Contribution of Gender Equality Policies in Research and Innovation

Despite decades of efforts to achieve gender equality in research and innovation (R&I), all EU member states still face remarkable difficulties in driving forward the development of their innovation system while at the same time improving gender equality by using all the available research potential. In this paper we focus on the development of the share of women researchers in four national innovation systems, i.e. in Austria, Denmark, Hungary and Spain in the time period 2005-2015. The four selected cases represent countries with significant differences in their innovation capacity, gender regimes and progress of gender equality in R&I. A qualitative comparative analysis (QCA) is carried out to conduct a sector program evaluation based on statistical data and qualitative studies to understand the dynamic development of the proportion of women researchers. The study aims to provide insights into the aggregated gender equality interventions and policies implemented in the four countries studied and their contributions to the development of the proportion of women scientists at the structural level. The analysis reveals that the development of the share of women researchers during the studied period has been particularly influenced by contextual factors, namely the relative size of the business enterprise sector and the share of women among holders of tertiary education. While this is the case, it is found that gender equality interventions need to be more widespread and more effectively designed to be a strong contributing factor to an increasing representation of women in R&I.     

Emotions into Disorder: Anxiety Disorders and the Social Meaning of Fear

This article explores what we refer to as norm-stimuli-state discrepancies, which are disparities between people's physical-emotional responses to emotional cues and the normative meanings of those cues. Drawing on forty qualitative interviews and participant observation research at support groups, we show that people with anxiety disorders describe two forms of norm-stimuli-state discrepancies. The first form involves discrepancies of type, in which people label fearful emotional states as deviant for being caused by the “wrong” stimuli. The second involves discrepancies of intensity, in which people label fearful states as deviant for involving feelings or displays of “too much” anxiety in response to an “appropriate” stimuli. The article further addresses the role of stimuli in prompting treatment seeking. Unexpected and intense emotional distress in combination with the falling away of external cues—which we refer to as “stimuli-less fear”—serve as a critical juncture on the path to an anxiety disorder diagnosis.     

Surgical Identity Play: The Anatomy Lab Revisited

The anatomy lab has been studied by sociologists interested in professional socialization since the 1950s. This is because the act of dissecting a cadaver is thought to be foundational for both the student's medical knowledge and the development of the student's professional identity. In this paper, I revisit the anatomy lab both historically and ethnographically. Drawing on theoretical insights from the laboratory ethnography tradition within science and technology studies, I show that students use material artifacts in the lab to support their “surgical identity play.” This activity is structured by the laboratory's performative architecture even while it is unsupervised by anatomy faculty. While many analyses of professional socialization focus on how students learn to interact with patients during their training, I show that the anatomy lab experience is an important form of professional socialization because here students learn to employ surgical instruments, language, and dress, and begin to relate to each other as colleagues.     

The role of leadership in shared value creation from the public’s perspective: A multi-continental study

Porter and Kramer’s concept of creating shared value (CSV) has been welcomed as an approach to corporate social responsibility (CSR) among corporations that also provides a practical opportunity for dialogue in public relations, but it has been little examined from the general population’s (i.e., the public’s) perspective. Such scrutiny is important because its findings enable public relations to contribute to the debate and development of CSV from both the public’s and the organization’s viewpoints. Additionally, if public relations professionals understand how the public perceives CSV, they can give a strategic perspective to top management for maximizing moral capabilities of the business and formulate effective communication to promote CSV initiatives. This study investigates whether the public prefers corporations to practice CSV as opposed to intrinsic CSR as a separate pursuit from business interests. It also explores the role of leadership as an influential and ethical construct in implementing effective CSV as perceived by the public. The public’s preference for CSV over intrinsic CSR was revealed in a survey of 1784 participants in the United States (US), Germany, and China. Factor analysis results further suggested that effective CSV competencies of CEOs were construed as a unidimensional concept in the US, but German and Chinese participants viewed it as two-dimensional. The public perceived that leaders’ moral character played a more important, core role in effective CSV than did altruistic and behavioral attributes, across nations. Network analysis of the perceived effective CSV-characteristics provides further implications for CSV communication.     

Myriad potential for mentoring: Understanding the process of transformational change through a gender equality intervention

This article contributes to understanding transformational change towards gender equality by examining the transformational change potential of a mentoring programme for women, a type of gender equality intervention both criticized and praised for its ability to bring about change. Drawing upon an empirical case study of a mentoring programme for women academics in a Dutch university, we explore three dimensions of transformational change: organizational members (i) discussing and reflecting upon gendered organizational norms and work practices; (ii) creating new narratives; and (iii) experimenting with new work practices. Our findings indicate five specific conditions that enable transformational change: cross‐mentoring, questioning what is taken for granted, repeating participation and individual stories, facilitating peer support networks and addressing and equipping all participants as change agents. We suggest that these conditions should be taken into account when (re)designing effective organizational gender equality interventions.     

Resolving complex community problems: Applying collective leadership and Kotter's change model to wicked problems within social system networks

How does collective leadership within social networks resolve chronic and complex problems common to communities? Unfortunately, sometimes it does not, but when it does, the outcome may be truly extraordinary. We use a case study approach to explain how one Midwest community within the USA applied collective leadership within a community network to reduce teen births. It took ten years of what many identified as provocative media campaigns and comprehensive sex education programs to reduce teen births by 65%, significantly exceeding the stated goal. Using Kotter's change model as a backdrop, powerful strategies and provocative creativity reveal courageous leadership within a social network of diverse people and organizations focused on improving the social well being of their community.     

Taking the longer view: Explaining Multicultural London English and Multicultural Paris French

The article explores the perplexing outcomes of comparative research projects in London and Paris on language change in multilingual areas of the cities populated by large numbers of recent immigrants with very diverse language backgrounds. In London, as in many other northern European cities, language contact on such a large scale has resulted in the emergence of a “multiethnolect”: a repertoire of innovative linguistic forms used by young people of all ethnicities, including monolingual non‐immigrant speakers. In Paris, however, there was no such repertoire. I propose four factors that are necessary for a multiethnolect to emerge and that explain why similar processes of population movement, immigration, and globalization have produced such different linguistic outcomes in London and Paris. These factors remind us that language evolution, like language use, is constrained not only by the social characteristics of individuals but also by the socio‐cultural historical contexts in which individuals live.     

Inferactive data analysis

We describe inferactive data analysis, so-named to denote an interactive approach to data analysis with an emphasis on inference after data analysis. Our approach is a compromise between Tukey's exploratory and confirmatory data analysis allowing also for Bayesian data analysis. We see this as a useful step in concrete providing tools (with statistical guarantees) for current data scientists. The basis of inference we use is (a conditional approach to) selective inference, in particular its randomized form. The relevant reference distributions are constructed from what we call a DAG-DAG—a Data Analysis Generative DAG, and a selective change of variables formula is crucial to any practical implementation of inferactive data analysis via sampling these distributions. We discuss a canonical example of an incomplete cross-validation test statistic to discriminate between black box models, and a real HIV dataset example to illustrate inference after making multiple queries on data.