title: To report or not to report? Understanding the impacts of reporting decisions for family and sexual violence in Aotearoa New Zealand

authors: Cording, Jacinta

abstract: Most victims of family violence (FV) and sexual violence (SV) do not report their criminal victimisation to police, but instead their experiences remain part of the ‘dark figure of crime’, or the proportion of actual crimes committed that remain officially unrecorded. The gap between victimisation and reported victimisation has a number of broad consequences for the policies and practices of government.
In this report we combine New Zealand Crime and Victims Survey (NZCVS) and other Integrated Data Infrastructure (IDI) data to consider two broad questions. First, what individual, community and offence-related factors predict non-reporting of FV and SV offences to Police (RQ1)? Second, is reporting or not associated with differences in wellbeing outcomes (RQ2)? Our analyses help to contextualise research and policy that relies on reported crime, and to identify areas where, as a result, reporting-associated policy responses may have potential shortcomings.

text: To report or not to report? Understanding the impacts of reporting decisions for family and sexual violence in Aotearoa New Zealand Most victims of family violence (FV) and sexual violence (SV) do not report their criminal victimisation to police, but instead their experiences remain part of the ‘dark figure of crime’, or the proportion of actual crimes committed that remain officially unrecorded. The gap between victimisation and reported victimisation has a number of broad consequences for the policies and practices of government.
In this report we combine New Zealand Crime and Victims Survey (NZCVS) and other Integrated Data Infrastructure (IDI) data to consider two broad questions. First, what individual, community and offence-related factors predict non-reporting of FV and SV offences to Police (RQ1)? Second, is reporting or not associated with differences in wellbeing outcomes (RQ2)? Our analyses help to contextualise research and policy that relies on reported crime, and to identify areas where, as a result, reporting-associated policy responses may have potential shortcomings.

year: 2025-04-02

title: Using context to solve the correspondence problem in Simultaneous Localisation and Mapping

authors: Jefferies, Margaret E.

subjects: computer science

abstract: We present a method for solving the correspondence problem in Simultaneous Localisation and Mapping (SLAM) in a topological map. The nodes in the topological map are a representation for each local space the robot visits. The approach is feature based - a neural network algorithm is used to learn a signature from a set of features extracted from each local space representation. Newly encountered local spaces are classified by the neural network as to how well they match the signatures of the nodes in the topological network. Of equal importance as the correspondence problem is its dual, that of perceptual aliasing which occurs when parts of the environment which appear the same are in fact different. It manifests itself as false positive matches from the neural network classification. Our approach to solving this aspect of the problem is to use the context provide by nodes in the neighbourhood of the (mis)matched node. When neural network classification indicates a correspondence then subsequent local spaces the robot visits should also match nodes in the topological map where appropriate.

text: Using context to solve the correspondence problem in Simultaneous Localisation and Mapping We present a method for solving the correspondence problem in Simultaneous Localisation and Mapping (SLAM) in a topological map. The nodes in the topological map are a representation for each local space the robot visits. The approach is feature based - a neural network algorithm is used to learn a signature from a set of features extracted from each local space representation. Newly encountered local spaces are classified by the neural network as to how well they match the signatures of the nodes in the topological network. Of equal importance as the correspondence problem is its dual, that of perceptual aliasing which occurs when parts of the environment which appear the same are in fact different. It manifests itself as false positive matches from the neural network classification. Our approach to solving this aspect of the problem is to use the context provide by nodes in the neighbourhood of the (mis)matched node. When neural network classification indicates a correspondence then subsequent local spaces the robot visits should also match nodes in the topological map where appropriate.

year: 2004

title: Te ahunga atu ki ngā ōhanga oranga Māori: Towards Māori economies of wellbeing - Ngā whānau i te pokapū o te oranga

authors: Spiller, Chellie

abstract: Nau mai ki tēnei kohinga o ngā whakaaro me ngā tikanga e pā ana ki te oranga ohaoha Māori. Ko tō mātou kaupapa matua ko te whānau; e hiahia ana mātou ki te whakaatu i ngā huarahi ki te ora pai mō te whānau i roto i ngā horopaki ohaoha. Ko te ao Māori tō mātou tūāpapa. E whakakao ana tēnei pukapuka i te huhua o ngā reo me ngā tirohanga nō te ao Māori, me ētahi atu wheako e hāngai ana. Kua kotahi mātou ki raro i te taumarumaru o te kaupapa tūturu kotahi: arā, te oranga pai mō ngā whānau. Ko te tūmanako ka tautoko, ka whakaohooho anō hoki tēnei pukapuka i ngā tāngata kia hōhonu atu tā rātou hono ki tēnei kaupapa whaitake, kia whai māramatanga whaihua hoki rātou.

Welcome to this collection of thoughts and practices related to Māori economic life. Our primary focus is the whānau; we want to show ways to live well for the whānau in economic contexts. Our foundation is te ao Māori. This book brings together many voices and perspectives from the Māori world and other relevant experiences. We are united in one true purpose: the good livelihood of whānau. We hope this book will support and inspire people to connect more deeply with this critical topic and gain valuable insights.

text: Te ahunga atu ki ngā ōhanga oranga Māori: Towards Māori economies of wellbeing - Ngā whānau i te pokapū o te oranga Nau mai ki tēnei kohinga o ngā whakaaro me ngā tikanga e pā ana ki te oranga ohaoha Māori. Ko tō mātou kaupapa matua ko te whānau; e hiahia ana mātou ki te whakaatu i ngā huarahi ki te ora pai mō te whānau i roto i ngā horopaki ohaoha. Ko te ao Māori tō mātou tūāpapa. E whakakao ana tēnei pukapuka i te huhua o ngā reo me ngā tirohanga nō te ao Māori, me ētahi atu wheako e hāngai ana. Kua kotahi mātou ki raro i te taumarumaru o te kaupapa tūturu kotahi: arā, te oranga pai mō ngā whānau. Ko te tūmanako ka tautoko, ka whakaohooho anō hoki tēnei pukapuka i ngā tāngata kia hōhonu atu tā rātou hono ki tēnei kaupapa whaitake, kia whai māramatanga whaihua hoki rātou.

Welcome to this collection of thoughts and practices related to Māori economic life. Our primary focus is the whānau; we want to show ways to live well for the whānau in economic contexts. Our foundation is te ao Māori. This book brings together many voices and perspectives from the Māori world and other relevant experiences. We are united in one true purpose: the good livelihood of whānau. We hope this book will support and inspire people to connect more deeply with this critical topic and gain valuable insights.

year: 2025