Suchergebnisse

In the Summer 85 issue of Women in Management Review we reported that the Equal Opportunities Commission had found that the Leeds Permanent Building Society had been practising discrimination by imposing a job mobility requirement.

This book is the first full study to examine the appointment and experiences of women in the Irish Department of Foreign Affairs from 1946 to 1990. Focusing on the appointment and careers of Irish female diplomats, it examines their experiences in a historically male-centred career. In 1946 Sheila Murphy, a twenty-year veteran of the department, received her first diplomatic appointment and this sparked the beginning of women entering the department and attaining diplomatic status. Their inclusion in the elite Irish diplomatic corps however was not without its challenges. Only a handful entered the department in these early years and for these women the marriage bar was in place within the civil service, equal pay for equal work did not exist and they had to fight against the internalized image of the diplomat as a male agent. This book tells the story of these women's careers, from the pioneering women of the 1940s through to the trail blazers of the 1990s. Women were involved in and participated in Irish foreign affairs throughout the twentieth century and their contribution to Irish diplomacy deserves to be told

This paper examines how the notion of community is embedded in Locke's writing on visual art and is an important aspect of Locke's political and educational thought in the context of his practice of adult and higher education.

eParticipation has largely not lived up to expectations and government responsiveness to public feedback, provided via eParticipation has proved challenging. In a new conceptualization of the theory of Sense of Community (SoC), this paper explores the dynamics of online government responsiveness, by using dimensions of SoC to identify how those components enable successful interaction from both the perspective of government staff and public users. This study re-ports from two case studies designed to explore these interaction dynamics in online engagement initiatives in Ireland and the UK. The findings enabled the identification of important factors which facilitate successful SoC (for online public interaction) in this domain. Participation for government staff users was particularly associated with their perception of a safe online space. For public users, openness without responsiveness to public feedback was not valued, highlighting the importance of appropriate government responsiveness. The absence of social interactivity was identified as a negative for public users while the presence of social interactivity was identified as a positive for government staff users in the second case study. Overall, this study is the first empirical step to contribute to an understanding of successful social processes in online public engagement. It highlights the utility of examining all four subconstructs of SoC and proposes factors to assist in the identification of critical SoC components in future studies. ; Peer reviewed

ABSTRACT
This case offers learning experiences for (1) following a business process diagram for car dealers' recording of sales and sales returns of new cars and the car manufacturer's subsequent recording of the same transactions and (2) querying a database to determine why dashboards maintained by the dealers and the manufacturer do not always agree. Scaffolding resources (videos and script with screenshots) enable learners with no querying experience to work the case as they develop basic query skills. For learners with query skills, the case (without scaffolding resources) can be used as a data analysis project covering all major query operations. The data can be queried in any structured query language (SQL) platform. The case offers practice and quiz questions for assessing business process skill and the query skills of joining tables, aggregating data, setting criteria, using built-in functions, developing expressions, and verifying query correctness.

This is a conference paper. ; With the uptake of social media, such as Facebook and Twitter, there is now a vast amount of new user generated content on a daily basis, much of it in the form of short, informal free-form text. Businesses, institutions, governments and law enforcement organisations are now actively seeking ways to monitor and more generally analyse public response to various events, products and services. Our primary aim in this project was the development of an approach for capturing a wide and comprehensive range of emotions from sparse, text based messages in social-media, such as Twitter, to help monitor emotional responses to events. Prior work has focused mostly on negative / positive sentiment classification tasks, and although numerous approaches employ highly elaborate and effective techniques with some success, the sentiment or emotion granularity is generally limiting and arguably not always most appropriate for real-world problems. In this paper we employ an ontology engineering approach to the problem of fine-grained emotion detection in sparse messages. Messages are also processed using a custom NLP pipeline, which is appropriate for the sparse and informal nature of text encountered on micro-blogs. Our approach detects a range of eight high-level emotions; anger, confusion, disgust, fear, happiness, sadness, shame and surprise. We report f-measures (recall and precision) and compare our approach to two related approaches from recent literature. © 2013 IADIS.

This is a conference paper. ; Social-Media streams are constantly supplying vast volumes of real-time User Generated Content through platforms such as Twitter, Facebook, and Instagram, which makes it a challenge to monitor and understand. Understanding social conversations has now become a major interest for businesses, PR and advertising agencies, as well as law enforcement and government bodies. Monitoring of social-media allows us to observe large numbers of spontaneous, real-time interactions and varied expression of opinion, often fleeting and private. However, human, expert monitoring is generally unfeasible due to the high volumes of data. This has been a major reason for recent research and development work looking at automated social-media monitoring systems. Such systems often keep the human "out of the loop" as an NLP (Natural Language Processing) pipeline and other data-mining algorithms deal with analysing and extracting features and meaning from the data. This is plagued by a variety of problems, mostly due to the heterogenic, inconsistent and context-poor nature of social-media data, where as a result the accuracy and efficacy of such systems suffers. Nevertheless, automated social-media monitoring systems provide for a scalable, streamlined and often efficient way of dealing with big-data streams. The integration of processing outputs from automated systems and feedback to human experts is a challenge and deserves to be addressed in research literature. This paper will establish the role of the human in the social-media monitoring loop, based on prior systems work in this area. The focus of our investigation will be on use of visualisations for effective feedback to human experts. A specific, custom built system's case-study in a social-media monitoring scenario will be considered and suggestions on how to bring back the human "into the loop" will be provided. Also some related ethical questions will be briefly considered. It is hoped that this work will inform and provide valuable insight to help improve development of automated social-media monitoring systems.

This is a conference paper. ; Due to the real-time nature and the value of social media content for monitoring entities and events of significance, automated sentiment analysis and semantic enrichment techniques for social media streams have received considerable attention in the literature. These techniques are central to monitoring social-media content, which is now becoming a significant business with commercial, institutional, governmental and law enforcement interest into its applications. Prior work in sentiment analysis especially has focused mostly on negative-positive sentiment classification tasks. Although numerous approaches employ highly elaborate and effective techniques with some success, the sentiment or emotion granularity is generally limiting and arguably not always most appropriate for real-world problems. In this paper a newly developed ontology based system is employed, to semantically enrich Tweets with fine-grained emotional states, in order to analyse the subjective public reactions to a wide selection of recent events. The approach detects a range of eight high-level emotions and their perceived strength (also known as activation level), specifically; anger, confusion, disgust, fear, happiness, sadness, shame and surprise. A set of emotional profiles for different events is obtained and an in-depth analysis of the emotional responses is presented. Recent events, such as the 2013 horsemeat scandal, Nelson Mandela's death, September 11th remembrance anniversary, recent tube strikes in London are analysed and discussed. The feasibility and potential benefits of automated fine-grained emotional event response analysis from social-media is illustrated and further, future work suggested.

This study uses an exploratory qualitative design to examine the lived experience of one group of service users on community treatment orders (CTOs). The study was designed and completed by four graduate students at Carleton University School of Social Work. Despite the unique features of CTO legislation in Ontario, many findings from this study are remarkably similar to findings of research conducted in other jurisdictions. What is unique in our findings is the lack of focus on the actual conditions and provision of the CTO. The issue for our participants was less about the CTO itself, and more about the labels, control and discrimination associated with severe mental illness. Cette étude utilise un concept qualitatif et exploratoire pour examiner les expériences vécues d'un groupe qui utilise les ordonnances de traitement en milieu communautaire (OTMC). Cette étude a été designée et complétée par 4 étudiants de l'école de service social de l'université Carleton. Malgré les nombreux aspects uniques de la loi gérant les OTMC de l'Ontario, plusieurs résultats de cette étude sont remarquablement similaires aux résultats découverts dans de différentes juridictions. L'élément unique de cette recherche est le manque de focus sur les conditions véritables et les provisions des OTMC. La problématique encourue par les participants n'était pas au sujet des OTMC en soi, mais plus tôt au sujet de l'étiquetage, du contrôle, et de la discrimination associé aux troubles de santé mentale sévères.

Ecological Entanglement in the Anthropocene brings together academics, activists, and artists to explore how human and nonhuman worlds act upon and transform one another. This book examines how numerous local practices can productively gesture to actions that exceed the current predictions of impending ecological destruction, with a particular focus upon agriculture, indigeneity and aesthetics.