Equality and gender at work in Islam : the case of the Berber population of the High Atlas Mountains

This article investigates how religion-based social norms and values shape women’s access to employment in Muslim-majority countries. It develops a religiously sensitive conceptualization of the differential valence of genders based on respect, which serves to (re)produce inequality. Drawing on an ethnographic study of work practice in Berber communities in Morocco, aspects of respect are analyzed through an honor-shame continuum that serves to moralize and mediate gender relations. The findings show that respect and shame function as key inequality-(re)producing mechanisms. The dynamic interrelationship between respect and shame has implications for how we understand the ways in which gender inequality is institutionalized and (re)produced across different levels. Through these processes, gender- differentiated forms of respect become inscribed in organizational structures and practices, engendering persistent inequality

Gender and capacity building : a multi-layered study of empowerment

This study shifts the focus from building individual capacities to understanding the relational acts through which empowerment and education acquire their value and meaning. Conceptually, the paper employs social cognitive theory to explore the interplay between social learning, relational agency, and culture. This interplay builds the foundation for the development of an empowerment model of capacity building that proposes an interlinked system of community capacity and empowerment dimensions. The model is explored in the context of the Education for All project in the High Atlas Mountains of Morocco. The research combines participant observation, qualitative interviews and visual methods to provide rich insights to situated knowledges of learning and empowerment. Findings reveal that the meaning of education equates to the capacity to aspire to a different life. This problematizes the way gender and gender relations are understood in the rural Berber villages. The girls’ education unsettles the repeating cycle of female educational deprivation, and leads them to become role models within their communities. This instills the image of educated women in community consciousness, leading to an incipient change in perceptions of what girls and women can be and do

Caring at a distance : a model of business care, trust and displaced responsibility

This paper advances an ethic of care for sustainable tourism. The study develops an original business care model that captures the dynamic interrelationships between care, responsibility and trust in corporate philanthropy. The model provides a novel perspective on how responsible business practices are formed across distance by shedding light on the different layers of responsibility and trust that characterize business–stakeholder relationships. The model is evaluated using the example of tour operators’ engagement in the Education for All project in Morocco. Findings show that tour operators’ commitment to caring at a distance becomes part of shared, displaced and performed articulations of responsibility. While performed responsibility acknowledges the embodiment of care, displaced responsibility shifts the responsibility to select, perform and/or oversee acts of care to stakeholders in destinations. Shared responsibility requires attention to the ways in which meanings and practices of care are co-constructed in corporate philanthropy with trust functioning as a central driver of these processes

Multi-Task Learning for Argumentation Mining in Low-Resource Settings

We investigate whether and where multi-task learning (MTL) can improve performance on NLP problems related to argumentation mining (AM), in particular argument component identification. Our results show that MTL performs particularly well (and better than single-task learning) when little training data is available for the main task, a common scenario in AM. Our findings challenge previous assumptions that conceptualizations across AM datasets are divergent and that MTL is difficult for semantic or higher-level tasks.Comment: Accepted at NAACL 201

Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems

Visual modifications to text are often used to obfuscate offensive comments in social media (e.g., "!d10t") or as a writing style ("1337" in "leet speak"), among other scenarios. We consider this as a new type of adversarial attack in NLP, a setting to which humans are very robust, as our experiments with both simple and more difficult visual input perturbations demonstrate. We then investigate the impact of visual adversarial attacks on current NLP systems on character-, word-, and sentence-level tasks, showing that both neural and non-neural models are, in contrast to humans, extremely sensitive to such attacks, suffering performance decreases of up to 82\%. We then explore three shielding methods---visual character embeddings, adversarial training, and rule-based recovery---which substantially improve the robustness of the models. However, the shielding methods still fall behind performances achieved in non-attack scenarios, which demonstrates the difficulty of dealing with visual attacks.Comment: Accepted as long paper at NAACL-2019; fixed one ungrammatical sentenc