Word Senses as Clusters of Meaning Modulations: A Computational Model of Polysemy

Most words in natural languages are polysemous; that is, they have related but different meanings in different contexts. This one-to-many mapping of form to meaning presents a challenge to understanding how word meanings are learned, represented, and processed. Previous work has focused on solutions in which multiple static semantic representations are linked to a single word form, which fails to capture important generalizations about how polysemous words are used; in particular, the graded nature of polysemous senses, and the flexibility and regularity of polysemy use. We provide a novel view of how polysemous words are represented and processed, focusing on how meaning is modulated by context. Our theory is implemented within a recurrent neural network that learns distributional information through exposure to a large and representative corpus of English. Clusters of meaning emerge from how the model processes individual word forms. In keeping with distributional theories of semantics, we suggest word meanings are generalized from contexts of different word tokens, with polysemy emerging as multiple clusters of contextually modulated meanings. We validate our results against a human-annotated corpus of polysemy focusing on the gradedness, flexibility, and regularity of polysemous sense individuation, as well as behavioral findings of offline sense relatedness ratings and online sentence processing. The results provide novel insights into how polysemy emerges from contextual processing of word meaning from both a theoretical and computational point of view.     

Addressing a Divide in the Conceptualization of the Gender-Crime Relationship: A Comparative Test of Gender and Sex Using General Strain Theory

While criminology has long recognized the impact of gender on crime, many criminological theories continue to measure sex rather than socially constructed gender identities. Research has also struggled to directly compare these measures within a theoretical context. This study examines the impact of sex and gender identity variables using the framework of General Strain Theory. A total of 1,457 college students were surveyed on measures of General Strain Theory, biological sex, gender identity, and a range of deviant behaviors. Findings indicate that gender identity produced a stronger predictive model of deviance than biological sex, and suggest a means for research to account for gender when studying deviance.     

Can we adapt to highly automated vehicles as passengers? The mediating effect of trust and situational awareness on role adaption moderated by automated driving style

The emergence of highly automated driving technology provides safe and convenient travel while also causing user inadaptation. Therefore, based on human factors engineering, it is necessary to study highly automated vehicles (HAVs) that meet different user needs. Thus, this study aims to investigate the relationships between state anxiety, situational awareness, trust, and role adaptation. The adaptation model is constructed to conduct a study on the adaptation of HAVs with different automated styles when user roles change from driver to passenger. Simulated riding was conducted in the HAV experiment (N = 117), collecting scale data after each participant had experienced each automated driving style. A structural equation modeling approach was applied to analyze the adaptation model based on scale data. The results showed that there was a significant correlation between state anxiety, situational awareness, trust, and role adaptation. State anxiety has a significant negative predictive effect on trust, situational awareness, and role adaptation. In addition to its direct impact on role adaptation, state anxiety also has an indirect effect on role adaptation through situational awareness and trust. Furthermore, the automated driving style has been confirmed to have a moderating role in the relationship between the direct and indirect effects of state anxiety and role adaptation. Our findings contribute to multiple streams of the literature and have important implications for designing personalized automated driving to improve user acceptance.     

Gender makes the difference: The moderating role of leader gender on the relationship between leadership styles and subordinate performance

Using a predominantly male research and development (R&D) sample and a predominantly female customer service personnel sample, we investigated how authoritarian and benevolent leadership styles interact with leader gender to influence subordinate performance (i.e., task performance, citizenship behavior, and creativity). Our research extends role congruity theory (Eagly & Karau, 2002) by adopting  and  attribution principles to offer a more comprehensive framework for explaining how leader gender affects the impact of leadership styles on subordinate performance. Our results suggest that the negative relationship between authoritarian leadership and subordinate performance is stronger for female than for male leaders and that the positive relationship between benevolent leadership and subordinate performance is stronger for male than for female leaders. Accordingly, in addition to leaders’ engaging in gender-role congruent behaviors, a useful strategy is to adopt behaviors that are perceived as a positive deviation from their gender role.     

Context affects the interpretation of low but not high numerical probabilities: A hypothesis testing account of subjective probability

Low numerical probabilities tend to be directionally ambiguous, meaning they can be interpreted either positively, suggesting the occurrence of the target event, or negatively, suggesting its non-occurrence. High numerical probabilities, however, are typically interpreted positively. We argue that the greater directional ambiguity of low numerical probabilities may make them more susceptible than high probabilities to contextual influences. Results from five experiments supported this premise, with perceived base rate affecting the interpretation of an event’s numerical posterior probability more when it was low than high. The effect is consistent with a confirmatory hypothesis testing process, with the relevant perceived base rate suggesting the directional hypothesis which people then test in a confirmatory manner.     

On paradoxes and the experience of duality

Abstract

Opposing attitudes, emotions, or perceptions of self and other that set the stage for experiences of duality influence our interactions and self–other schemas. The experience of duality that has been conceptualised as “conflict,” “self state,” and “paradox" in psychoanalytic theory has been extensively considered, particularly in terms of its manifestation in transference–countertransference relations and in the analytic material from patients' experiences. They have not, however, been compared and contrasted as entities that lead to similar kinds of experience. Scant attention has been paid, moreover, to paradox as a mental organisation that underlies certain experiences of duality. The concept of paradox has thus been emphasised and developed in this paper.     

Passive leadership,role stressors,and affective organizational commitment: A time-lagged study among health care employees

IntroductionThis study examines the relationships of passive leadership and role stressors to affective organizational commitment among hospital employees.ObjectiveThis study's objective was to understand the mediating effect of role stressors (conflict, overload, and ambiguity) in the relation between passive leadership and affective organizational commitment.MethodWe used a structural equation modeling approach on a sample of 185 hospital employees and a time-lagged design in which predictor and mediators were assessed at Time 1 and affective organizational commitment was obtained 3 years later.ResultsFindings revealed that passive leadership was positively related to all three role stressors and that role ambiguity fully mediated a negative relationship between passive leadership and affective organizational commitment. Moreover, the relationship between passive leadership and role conflict was stronger when role overload was high.ConclusionThis study suggests organizations should strive to limit the emergence of passive leadership behaviors among supervisors due to their detrimental effects on the long-term development of affective commitment via role ambiguity.     

Making sense of “resistance”: Responses to organizational change in a private nursing home for the elderly

Abstract

This article reports a study of resistance to change amongst organizational employees. It focuses on the introduction of skill development programmes to give staff nationally recognized qualifications. Resistance to the innovation is interpreted in light of the values of staff and how they are consistent or inconsistent with the value base of the innovation.     

Role conflicts of family members in family firms

The existence of role conflict among organizational members tends to create tensions inside organizations worldwide. However, in the context of family firms, having a dual role of being a member of a family and a member of the firm can represent interesting differences that make family firms an important form of organization to study. Following the tenets of the stewardship theory, our article develops a model where reciprocal altruism represents an antecedent to role conflict among family members. We further argue that perceptions of collective efficacy among family members have a moderating effect on the relationship between reciprocal altruism and role conflict. Last, we propose that role conflict in family firms reduces the family firm performance. Implications for future research and practice are discussed.