title: e-Science partnerships: Towards a sustainable framework for school-scientist engagement.

authors: Falloon, Garry

subjects: Coordination

abstract: In late 2006, the New Zealand Government embarked on a series of initiatives to explore how the resources and expertise of eight, small, state-owned science research institutes could be combined efficiently to support science teaching in schools. Programmes were developed to enable students and teachers to access and become involved in local science research and innovation, with the aim being to broaden their awareness of New Zealand science research contexts, adding authenticity and relevance to their school studies. One of these initiatives, known as Science-for-Life, partnered scientists with teachers and students in primary and secondary schools (K-12). A key output from the trial phase of Science-for-Life was the generation of a framework for guiding and coordinating the activities of the eight institutes within the education sector, to improve efficiency, effectiveness and promote sustainability. The framework, based on data gathered from a series of interviews with each institute's Chief Executive Officer (CEO), an online questionnaire, and informed by findings from trial partnership case studies published as institute technical reports and published articles, is presented in this paper. While the framework is developed from New Zealand data, it is suggested that it may be useful for coordinating interactions between multiple small science organisations and the school sector in other small-nation or state contexts.

text: e-Science partnerships: Towards a sustainable framework for school-scientist engagement. In late 2006, the New Zealand Government embarked on a series of initiatives to explore how the resources and expertise of eight, small, state-owned science research institutes could be combined efficiently to support science teaching in schools. Programmes were developed to enable students and teachers to access and become involved in local science research and innovation, with the aim being to broaden their awareness of New Zealand science research contexts, adding authenticity and relevance to their school studies. One of these initiatives, known as Science-for-Life, partnered scientists with teachers and students in primary and secondary schools (K-12). A key output from the trial phase of Science-for-Life was the generation of a framework for guiding and coordinating the activities of the eight institutes within the education sector, to improve efficiency, effectiveness and promote sustainability. The framework, based on data gathered from a series of interviews with each institute's Chief Executive Officer (CEO), an online questionnaire, and informed by findings from trial partnership case studies published as institute technical reports and published articles, is presented in this paper. While the framework is developed from New Zealand data, it is suggested that it may be useful for coordinating interactions between multiple small science organisations and the school sector in other small-nation or state contexts.

year: 2013

title: Estimating patterns and rates of coastal cliff retreat around Tauranga Harbour

authors: Garae, Camillia Pauline

subjects: rate of coastal cliff retreat

abstract: Cliffs are common around the shores of Tauranga Harbour, including in the urban areas. The existence of cliffs indicates a potential hazard to people living close to the cliff edge, as they imply both a tendency for the upper surfaces to erode, and for the debris to fall onto lower areas. To identify the relative risk around the harbour shoreline, it is useful to determine the rates and patterns of shoreline erosion.

This study initially determined the shoreline changes between 1943, 1982 and 2011 using a combination of aerial photograph analysis using Digital Shoreline Analysis System (DSAS), airborne LiDAR data and Laser scan data. Long term rate of retreat was determined for the study area with the use of digitised aerial photographs and DSAS applications. Cliff locations are often difficult to determine from aerial photographs due to shadows and vegetation obscuring the ground surface. Hence, LiDAR data were used to initially identify the cliff edge positions in 2011. These results were compared to the 2011 aerial photograph to assess how easily the cliff edge can be identified with the photographs. The inferred cliff edge from the 2011 aerial photograph was digitised in GIS, and the corresponding cliff edge for 1943 was also determined and digitised using stereopairs to aid cliff edge identification. The 1982 aerial photograph was scanned, georeferenced and shoreline digitised. Using the DSAS software, the rates were computed. However, this was also compared to other methods using the intersection points generated from DSAS. Laser scan surveys were conducted to determine surface volume changes to acquire short term rate of retreat at the cliff face. This analysis involved surveys carried out within a period from May 2014, July 2014 – November 2014. The data collected was compared to earlier laser scan data from September 2012 – July 2013 and LiDAR data from September 2011.

Several approaches were used to determine the best estimate of rate of retreat from the DSAS analyses. It was identified that the buffer end-point rate produced the best rate cliff retreat in the study area. The range of rate of retreat using this method was -0.2 ± 0.16 to 0.07 ± 0.16 m.y-1. It was also identified that the Matua Subgroup had the highest rate of erosion within the study area located at South west Matakana Island. The rate was lowest at East Pahoia Peninsula. Although laser scans were conducted only over a short period of time, comparing the dataset to earlier laser scan data a range of rates were obtained -0.01 to 0.02 m.y-1. Although rates were determined for both methods the errors were large and need to be considered.

text: Estimating patterns and rates of coastal cliff retreat around Tauranga Harbour Cliffs are common around the shores of Tauranga Harbour, including in the urban areas. The existence of cliffs indicates a potential hazard to people living close to the cliff edge, as they imply both a tendency for the upper surfaces to erode, and for the debris to fall onto lower areas. To identify the relative risk around the harbour shoreline, it is useful to determine the rates and patterns of shoreline erosion.

This study initially determined the shoreline changes between 1943, 1982 and 2011 using a combination of aerial photograph analysis using Digital Shoreline Analysis System (DSAS), airborne LiDAR data and Laser scan data. Long term rate of retreat was determined for the study area with the use of digitised aerial photographs and DSAS applications. Cliff locations are often difficult to determine from aerial photographs due to shadows and vegetation obscuring the ground surface. Hence, LiDAR data were used to initially identify the cliff edge positions in 2011. These results were compared to the 2011 aerial photograph to assess how easily the cliff edge can be identified with the photographs. The inferred cliff edge from the 2011 aerial photograph was digitised in GIS, and the corresponding cliff edge for 1943 was also determined and digitised using stereopairs to aid cliff edge identification. The 1982 aerial photograph was scanned, georeferenced and shoreline digitised. Using the DSAS software, the rates were computed. However, this was also compared to other methods using the intersection points generated from DSAS. Laser scan surveys were conducted to determine surface volume changes to acquire short term rate of retreat at the cliff face. This analysis involved surveys carried out within a period from May 2014, July 2014 – November 2014. The data collected was compared to earlier laser scan data from September 2012 – July 2013 and LiDAR data from September 2011.

Several approaches were used to determine the best estimate of rate of retreat from the DSAS analyses. It was identified that the buffer end-point rate produced the best rate cliff retreat in the study area. The range of rate of retreat using this method was -0.2 ± 0.16 to 0.07 ± 0.16 m.y-1. It was also identified that the Matua Subgroup had the highest rate of erosion within the study area located at South west Matakana Island. The rate was lowest at East Pahoia Peninsula. Although laser scans were conducted only over a short period of time, comparing the dataset to earlier laser scan data a range of rates were obtained -0.01 to 0.02 m.y-1. Although rates were determined for both methods the errors were large and need to be considered.

year: 2015

title: Problematic reasoning under the guise of anti-Māori talk: A case study of the Three Waters tweets

authors: Tan, Kyle K. H.

abstract: Drawing from a subset of Twitter/X quotes (or tweets) on the politically controversial Three Waters Reform, this study identified forms of anti-Māori discourse through a deductive analysis. A complementary analysis was conducted to unpack how problematic reasoning fueled racism against Māori. Our results revealed distinct and interconnected themes—“resources,” “culture,” “stirrer,” “privilege,” and “one people”—that portrayed Māori as undeserving, lacking expertise, threatening, and unworthy of equitable treatment, as New Zealand citizens are entitled to enjoy liberal democratic values. Anti-Māori speakers employed problematic reasoning tactics to obstruct the public from understanding the truth or to encourage others to form ill-informed opinions through emotions, supposed authority, and conspiracy. Exemplar tweets were provided to illustrate the myriad instances of false information related to patterns of anti-Māori discourse. Evidence from this study makes the case for addressing racism on social media and creating interventions to expand media literacy amongst the public to discern problematic reasonings.

text: Problematic reasoning under the guise of anti-Māori talk: A case study of the Three Waters tweets Drawing from a subset of Twitter/X quotes (or tweets) on the politically controversial Three Waters Reform, this study identified forms of anti-Māori discourse through a deductive analysis. A complementary analysis was conducted to unpack how problematic reasoning fueled racism against Māori. Our results revealed distinct and interconnected themes—“resources,” “culture,” “stirrer,” “privilege,” and “one people”—that portrayed Māori as undeserving, lacking expertise, threatening, and unworthy of equitable treatment, as New Zealand citizens are entitled to enjoy liberal democratic values. Anti-Māori speakers employed problematic reasoning tactics to obstruct the public from understanding the truth or to encourage others to form ill-informed opinions through emotions, supposed authority, and conspiracy. Exemplar tweets were provided to illustrate the myriad instances of false information related to patterns of anti-Māori discourse. Evidence from this study makes the case for addressing racism on social media and creating interventions to expand media literacy amongst the public to discern problematic reasonings.

year: 2025