title: Interrelated struggles and the role of the academic in the fight for freedom

authors: Norris, Adele N.

abstract: Professor Biko Agozino delivered the keynote address for the launch of the new journal Decolonisation of Criminology and Justice on the 7th June of this year. He began his talk recounting his earliest memories as a child survivor of the Nigerian Biafra War that occurred in 1967 to 1970. Specifically, he called attention to the critical role of intellectuals and academics, trained at top Universities, in facilitating the conflict that claimed millions of lives  through bombings and starvation. Genocides of Indigenous peoples are still occurring and
state-sanctioned violence (e.g., police brutality, mass imprisonment, criminal justice system, inadequate housing) is commonplace for Indigenous and Black peoples(Benson & Lewis 2019, Estes 2019, Kanem & Norris 2018, Ritchie 2017). Professor Agozino asked for us to reflect upon the place of the academy and the role of the scholar-activist in the struggles occurring all around us.

text: Interrelated struggles and the role of the academic in the fight for freedom Professor Biko Agozino delivered the keynote address for the launch of the new journal Decolonisation of Criminology and Justice on the 7th June of this year. He began his talk recounting his earliest memories as a child survivor of the Nigerian Biafra War that occurred in 1967 to 1970. Specifically, he called attention to the critical role of intellectuals and academics, trained at top Universities, in facilitating the conflict that claimed millions of lives  through bombings and starvation. Genocides of Indigenous peoples are still occurring and
state-sanctioned violence (e.g., police brutality, mass imprisonment, criminal justice system, inadequate housing) is commonplace for Indigenous and Black peoples(Benson & Lewis 2019, Estes 2019, Kanem & Norris 2018, Ritchie 2017). Professor Agozino asked for us to reflect upon the place of the academy and the role of the scholar-activist in the struggles occurring all around us.

year: 2019

title: Text categorization using compression models

authors: Frank, Eibe

abstract: Summary form only given. Test categorization is the assignment of natural language texts to predefined categories based on their concept. The use of predefined categories implies a "supervised learning" approach to categorization, where already-classified articles which effectively define the categories are used as "training data" to build a model that can be used for classifying new articles that comprise "the data". Typical approaches extract features from articles and use the feature vectors as input to a machine learning scheme that learns how to classify articles. The features are generally words. It has often been observed that compression seems to provide a very promising alternative approach to categorization. The overall compression of an article with respect to different models can be compared to see which one it fits most closely. Such a scheme has several potential advantages: it yields an overall judgement on the document as a whole, rather than discarding information by pre-selecting features it avoids the messy and rather artificial problem of defining word boundaries; it deals uniformly with morphological variants of words; depending on the model (and its order), it can take account of phrasal effects that span word boundaries; it offers a uniform way of dealing with different types of documents for example, arbitrary files in a computer system; it generally minimizes arbitrary decisions that inevitably need to be taken to render any learning scheme practical.

text: Text categorization using compression models Summary form only given. Test categorization is the assignment of natural language texts to predefined categories based on their concept. The use of predefined categories implies a "supervised learning" approach to categorization, where already-classified articles which effectively define the categories are used as "training data" to build a model that can be used for classifying new articles that comprise "the data". Typical approaches extract features from articles and use the feature vectors as input to a machine learning scheme that learns how to classify articles. The features are generally words. It has often been observed that compression seems to provide a very promising alternative approach to categorization. The overall compression of an article with respect to different models can be compared to see which one it fits most closely. Such a scheme has several potential advantages: it yields an overall judgement on the document as a whole, rather than discarding information by pre-selecting features it avoids the messy and rather artificial problem of defining word boundaries; it deals uniformly with morphological variants of words; depending on the model (and its order), it can take account of phrasal effects that span word boundaries; it offers a uniform way of dealing with different types of documents for example, arbitrary files in a computer system; it generally minimizes arbitrary decisions that inevitably need to be taken to render any learning scheme practical.

year: 2000-03

title: Report on the bicultural symposium at conference

authors: Masters-Awatere, Bridgette

subjects: Maori

abstract: Kia ora koutou. I decided to submit the current paper as a way to say thank you to the large group of people in attendance at the bicultural stream at the national conference in late August that was held at Waikato University. It was their continued presence and participation that served as a catalyst and motivator for this paper. I'm conscious that while there was a large number of people in the symposium, there were other streams occurring at the same time, so I thought giving an overview of the success of the symposium would be a good way to let people know who the symposium went. However, before talking specifically about the symposium, I'd like to give mention to other events of the day...

text: Report on the bicultural symposium at conference Kia ora koutou. I decided to submit the current paper as a way to say thank you to the large group of people in attendance at the bicultural stream at the national conference in late August that was held at Waikato University. It was their continued presence and participation that served as a catalyst and motivator for this paper. I'm conscious that while there was a large number of people in the symposium, there were other streams occurring at the same time, so I thought giving an overview of the success of the symposium would be a good way to let people know who the symposium went. However, before talking specifically about the symposium, I'd like to give mention to other events of the day...

year: 2007