title: Distributed leadership: Growing strong communities of practice in early childhood centres

authors: Clarkin-Phillips, Jeanette

subjects: educational leadership

abstract: This paper explores how leadership roles that are distributed across participants and mostly non-hierarchical (Bennett, Wise, Woods, and Harvey, 2003; Mayrowetz, 2008) can build strong communities of practice. In early childhood centres this community will include teachers, children, family and whānau ('extended family'). Using Wenger's (1998) notion of communities of practice, the paper analyses the data from a case study of a professional development programme focussed on developing 'leaderful' centres to ascertain the relationship between distributed leadership practices and communities of practice. Through the analysis the paper concludes that qualified teachers engaging in a model of distributed leadership play a significant role in building strong communities of practice and that further research is needed to confirm the importance of qualifications.

text: Distributed leadership: Growing strong communities of practice in early childhood centres This paper explores how leadership roles that are distributed across participants and mostly non-hierarchical (Bennett, Wise, Woods, and Harvey, 2003; Mayrowetz, 2008) can build strong communities of practice. In early childhood centres this community will include teachers, children, family and whānau ('extended family'). Using Wenger's (1998) notion of communities of practice, the paper analyses the data from a case study of a professional development programme focussed on developing 'leaderful' centres to ascertain the relationship between distributed leadership practices and communities of practice. Through the analysis the paper concludes that qualified teachers engaging in a model of distributed leadership play a significant role in building strong communities of practice and that further research is needed to confirm the importance of qualifications.

year: 2011

title: Organizing the World’s Machine Learning Information

authors: Vanschoren, Joaquin

subjects: computer science

abstract: All around the globe, thousands of learning experiments are being executed on a daily basis, only to be discarded after interpretation. Yet, the information contained in these experiments might have uses beyond their original intent and, if properly stored, could be of great use to future research. In this paper, we hope to stimulate the development of such learning experiment repositories by providing a bird’s-eye view of how they can be created and used in practice, bringing together existing approaches and new ideas. We draw parallels between how experiments are being curated in other sciences, and consecutively discuss how both the empirical and theoretical details of learning experiments can be expressed, organized and made universally accessible. Finally, we discuss a range of possible services such a resource can offer, either used directly or integrated into data mining tools.

text: Organizing the World’s Machine Learning Information All around the globe, thousands of learning experiments are being executed on a daily basis, only to be discarded after interpretation. Yet, the information contained in these experiments might have uses beyond their original intent and, if properly stored, could be of great use to future research. In this paper, we hope to stimulate the development of such learning experiment repositories by providing a bird’s-eye view of how they can be created and used in practice, bringing together existing approaches and new ideas. We draw parallels between how experiments are being curated in other sciences, and consecutively discuss how both the empirical and theoretical details of learning experiments can be expressed, organized and made universally accessible. Finally, we discuss a range of possible services such a resource can offer, either used directly or integrated into data mining tools.

year: 2009

title: Māori loanwords: a corpus of New Zealand English tweets

authors: Trye, David

abstract: Māori loanwords are widely used in New Zealand English for various social functions by New Zealanders within and outside of the Māori community. Motivated by the lack of linguistic resources for studying how Māori loanwords are used in social media, we present a new corpus of New Zealand English tweets. We collected tweets containing selected Māori words that are likely to be known by New Zealanders who do not speak Māori. Since over 30% of these words turned out to be irrelevant (e.g., mana is a popular gaming term, Moana is a character from a Disney movie), we manually annotated a sample of our tweets into relevant and irrelevant categories. This data was used to train machine learning models to automatically filter out irrelevant tweets.

text: Māori loanwords: a corpus of New Zealand English tweets Māori loanwords are widely used in New Zealand English for various social functions by New Zealanders within and outside of the Māori community. Motivated by the lack of linguistic resources for studying how Māori loanwords are used in social media, we present a new corpus of New Zealand English tweets. We collected tweets containing selected Māori words that are likely to be known by New Zealanders who do not speak Māori. Since over 30% of these words turned out to be irrelevant (e.g., mana is a popular gaming term, Moana is a character from a Disney movie), we manually annotated a sample of our tweets into relevant and irrelevant categories. This data was used to train machine learning models to automatically filter out irrelevant tweets.

year: 2019