Recognizing cited facts and principles in legal judgements

In common law jurisdictions, legal professionals cite facts and legal principles from precedent cases to support their arguments before the court for their intended outcome in a current case. This practice stems from the doctrine of stare decisis, where cases that have similar facts should receive similar decisions with respect to the principles. It is essential for legal professionals to identify such facts and principles in precedent cases, though this is a highly time intensive task. In this paper, we present studies that demonstrate that human annotators can achieve reasonable agreement on which sentences in legal judgements contain cited facts and principles (respectively, κ=0.65 and κ=0.95 for inter- and intra-annotator agreement). We further demonstrate that it is feasible to automatically annotate sentences containing such legal facts and principles in a supervised machine learning framework based on linguistic features, reporting per category precision and recall figures of between 0.79 and 0.89 for classifying sentences in legal judgements as cited facts, principles or neither using a Bayesian classifier, with an overall κ of 0.72 with the human-annotated gold standard

Reconciling Contemporary Approaches to School Attendance and School Absenteeism: Toward Promotion and Nimble Response, Global Policy Review and Implementation, and Future Adaptability (Part 1)

School attendance is an important foundational competency for children and adolescents, and school absenteeism has been linked to myriad short- and long-term negative consequences, even into adulthood. Many efforts have been made to conceptualize and address this population across various categories and dimensions of functioning and across multiple disciplines, resulting in both a rich literature base and a splintered view regarding this population. This article (Part 1 of 2) reviews and critiques key categorical and dimensional approaches to conceptualizing school attendance and school absenteeism, with an eye toward reconciling these approaches (Part 2 of 2) to develop a roadmap for preventative and intervention strategies, early warning systems and nimble response, global policy review, dissemination and implementation, and adaptations to future changes in education and technology. This article sets the stage for a discussion of a multidimensional, multi-tiered system of supports pyramid model as a heuristic framework for conceptualizing the manifold aspects of school attendance and school absenteeism

Managing Madness: The ethics of identifying and treating mental illness

This essay analyzes different contemporary models for defining mental illness and offers a new framework that promotes the use of normative values during the clinical diagnostic process. Although ethic centric models for identifying mental illness do currently exist, these accounts are limited. Specifically, these accounts acknowledge the relationship between mental illness labels and implied responsibility in making their argument to support a normative framework, yet do not explain what capacities are necessary for an agent to have full responsibility. Recognizing this shortcoming, this paper provides an enriched model for identifying mental illness by marrying a normative conception of psychiatric dysfunction to a differential model for assigning moral responsibility. To end this paper looks at how this model may be applied in clinical practice by working through a specific case study of Alcohol Dependence Disorder. Ultimately, I conclude that a normative conception of mental illness married to an account of responsibility is a more appropriate and comprehensive model for recognizing and treating psychiatric dysfunction in clinical practice. By carefully balancing normative and pragmatic considerations, physicians can create more effective and just therapeutic regimens that are tailored to individual patients’ circumstances and needs

Knowledge Creation and Sharing in Organisational Contexts: A Motivation-Based Perspective

This paper develops a motivation-based perspective to explore how organisations resolve the social dilemma of knowledge sharing, and the ways in which different motivational mechanisms interact to foster knowledge sharing and creation in different organisational contexts. The core assumption is that the willingness of organisational members to engage in knowledge sharing can be viewed on a continuum from purely opportunistic behaviour regulated by extrinsic incentives to an apparently altruistic stance fostered by social norms and group identity. The analysis builds on a three-category taxonomy of motivation: adding ‘hedonic’ motivation to the traditional dichotomy of extrinsic and intrinsic motivation. Based on an analysis of empirical case studies in the literature, we argue that the interaction and mix of the three different motivators play a key role in regulating and translating potential into actual behaviour, and they underline the complex dynamics of knowledge sharing and creation in different organisational contexts

The Current State of Normative Agent-Based Systems

Recent years have seen an increase in the application of ideas from the social sciences to computational systems. Nowhere has this been more pronounced than in the domain of multiagent systems. Because multiagent systems are composed of multiple individual agents interacting with each other many parallels can be drawn to human and animal societies. One of the main challenges currently faced in multiagent systems research is that of social control. In particular, how can open multiagent systems be configured and organized given their constantly changing structure? One leading solution is to employ the use of social norms. In human societies, social norms are essential to regulation, coordination, and cooperation. The current trend of thinking is that these same principles can be applied to agent societies, of which multiagent systems are one type. In this article, we provide an introduction to and present a holistic viewpoint of the state of normative computing (computational solutions that employ ideas based on social norms.) To accomplish this, we (1) introduce social norms and their application to agent-based systems; (2) identify and describe a normative process abstracted from the existing research; and (3) discuss future directions for research in normative multiagent computing. The intent of this paper is to introduce new researchers to the ideas that underlie normative computing and survey the existing state of the art, as well as provide direction for future research.Norms, Normative Agents, Agents, Agent-Based System, Agent-Based Simulation, Agent-Based Modeling