title: Discovering your personality: A group exercise in personal sensemaking

authors: Anderson, Marc Howard

subjects: personality

abstract: Personality affects a wide variety of issues in organizational behavior, human resource management, and strategic management. Instructors teaching personality often have students take personality tests and then give them their scores. This passive approach to giving test feedback suffers from several weaknesses dealing with distinct perceptual biases. The author presents an experiential group exercise that helps overcome these problems and that has a broad range of applications in management and social science courses that discuss personality.

text: Discovering your personality: A group exercise in personal sensemaking Personality affects a wide variety of issues in organizational behavior, human resource management, and strategic management. Instructors teaching personality often have students take personality tests and then give them their scores. This passive approach to giving test feedback suffers from several weaknesses dealing with distinct perceptual biases. The author presents an experiential group exercise that helps overcome these problems and that has a broad range of applications in management and social science courses that discuss personality.

year: 2008

title: Data mining in bioinformatics using Weka

authors: Frank, Eibe

subjects: computer science

abstract: The Weka machine learning workbench provides a general purpose environment for automatic classification, regression, clustering and feature selection-common data mining problems in bioinformatics research. It contains an extensive collection of machine learning algorithms and data exploration and the experimental comparison of different machine learning techniques on the same problem. Weka can process data given in the form of a single relational table. Its main objectives are to (a) assist users in extracting useful information from data and (b) enable them to easily identify a suitable algorithm for generating an accurate predictive model from it.

text: Data mining in bioinformatics using Weka The Weka machine learning workbench provides a general purpose environment for automatic classification, regression, clustering and feature selection-common data mining problems in bioinformatics research. It contains an extensive collection of machine learning algorithms and data exploration and the experimental comparison of different machine learning techniques on the same problem. Weka can process data given in the form of a single relational table. Its main objectives are to (a) assist users in extracting useful information from data and (b) enable them to easily identify a suitable algorithm for generating an accurate predictive model from it.

year: 2004

title: Indigenous people with disabilities: The argument for representation in human rights legislation (with specific reference to the development stage of the United Nations International Disability Convention)

authors: Hickey, Huhana

subjects: Tangata whaikaha

abstract: Until comparatively recently, human rights legislation was largely based on a universalist analysis. In treating all human beings alike, in failing to acknowledge the need for special measures to combat the marginalisation and oppression of particular groups, such as indigenous people and people with disabilities, it actually contributed to their invisibility and, hence, to their marginalisation and oppression. More recently, however, there has been a global trend towards the recognition of marginalised groups in human rights legislation. Even so, universalism, and the prejudice that so often accompanies it, is still in evidence. For example, although the United Nations is currently involved in drafting a Disabled Persons Convention, indigenous people with disabilities are not specifically represented. Their particular situation, one that involves a dual form of oppression (as indigenous people and as people with disabilities) is not acknowledged. Unless this situation is remedied, the Convention will inevitably be both less acceptable and less useful than would otherwise be the case.

text: Indigenous people with disabilities: The argument for representation in human rights legislation (with specific reference to the development stage of the United Nations International Disability Convention) Until comparatively recently, human rights legislation was largely based on a universalist analysis. In treating all human beings alike, in failing to acknowledge the need for special measures to combat the marginalisation and oppression of particular groups, such as indigenous people and people with disabilities, it actually contributed to their invisibility and, hence, to their marginalisation and oppression. More recently, however, there has been a global trend towards the recognition of marginalised groups in human rights legislation. Even so, universalism, and the prejudice that so often accompanies it, is still in evidence. For example, although the United Nations is currently involved in drafting a Disabled Persons Convention, indigenous people with disabilities are not specifically represented. Their particular situation, one that involves a dual form of oppression (as indigenous people and as people with disabilities) is not acknowledged. Unless this situation is remedied, the Convention will inevitably be both less acceptable and less useful than would otherwise be the case.

year: 2005-09