Predicting reading recovery selection and outcomes : is it possible? : a thesis presented in partial fulfilment of the requirements for the degree of Master of Education (Literacy) at Massey University, Manawatū, New Zealand

Purpose: Predictive early literacy assessments are useful to identify students who are at risk of reading difficulty. This study investigated the use of six early literacy assessments, administered when students first entered school (Time 1), and in the middle of their first year at school (Time 2), in order to predict which students would be selected for Reading Recovery and to identify the Reading Recovery (RR) outcomes for students who participated in the intervention. Method: Unpublished data from a longitudinal study (Early Literacy Project, Chapman, Arrow, Tunmer, & Braid, 2016) was analysed to find predictive links between assessment results and later reading outcomes, for a cohort of 300 5-year-old children in New Zealand primary schools. Results: It was not possible to predict which students would be selected for Reading Recovery due to the variations in RR selection processes. It was found that children who participated in RR were more likely to be referred on for further support the lower their phonological awareness scores were. It was also found that if a child scored 20 points or less, in a combination of Time 1 assessments (letter names, letter sounds and three measures of phonological awareness), they were likely to have a body of literacy abilities that meant they would be working at least a year below the National Standard by the end of their second year at school. Implications: The findings indicate that standardising the selection of students for RR may mean students with the lowest literacy attainment all get support. In addition, early literacy assessments, including measures of phonological awareness, should be administered early in a child’s schooling and those identified as being at risk of reading difficulty should receive literacy support without delay. Addressing students’ low levels of phonological awareness in the first year of schooling may lead to better outcomes for students who participate in RR. Keywords: phonological awareness, Reading Recovery, early literacy assessment, letter names, letter sounds, New Zealand, timing of assessment, vocabular

The First Stars: A Low-Mass Formation Mode

We perform numerical simulations of the growth of a Population III stellar system under photodissociating feedback. We start from cosmological initial conditions at z = 100, self-consistently following the formation of a minihalo at z = 15 and the subsequent collapse of its central gas to high densities. The simulations resolve scales as small as ~ 1 AU, corresponding to gas densities of 10^16 cm^-3. Using sink particles to represent the growing protostars, we evolve the stellar system for the next 5000 years. We find that this emerging stellar group accretes at an unusually low rate compared with minihalos which form at earlier times (z = 20 - 30), or with lower baryonic angular momentum. The stars in this unusual system will likely reach masses ranging from < 1 M_sun to 5 M_sun by the end of their main-sequence lifetimes, placing them in the mass range for which stars will undergo an asymptotic giant branch (AGB) phase. Based upon the simulation, we predict the rare existence of Population III stars that have survived to the present day and have been enriched by mass overflow from a previous AGB companion.Comment: 19 pages, 17 figures, to apper in Ap

Investing in Sustainable Energy Futures: Multilateral Development Banks' Investments in Energy Policy

Analyzes MDB loans for electricity projects and lays out policy reforms, regulations, and institutional capacities needed to enable public and private investment in sustainable energy and ways for MDBs to address them consistently and comprehensively

David Martin: my teacher, or, a way of seeing

David Martin’s sociology of religion embodied an expansive vision of religion, one that encompassed the entirety of human and social experience: its political, national, economic, aesthetic, poetical and spiritual-religious orientations, and the complexities of their institutional arrangements, entanglements and compromises with one another. David’s sociology was not formulaic; it was a constant struggle – a struggle for understanding the motives, forms and patterns of human behaviour as these changed and shifted under changing circumstances. David was extraordinarily sensitive to the importance of the historical context, and especially the effects of modernity, in all its different guises, on the great cultural traditions of Western civilisation: Christianity and Western ‘high culture’ - the ‘Western canon’ of European art, music, literature and poetry. For David, the former presented the best account of human life; the latter, the pinnacles of human creative and imaginative achievement. As my doctoral supervisor, he also helped me to see and understand the persistence, revival and evolution of that other great European cultural tradition, the Classical tradition, the civilisation of the ancient Greek and Roman worlds, in the modern world. Like its Biblical, Judaeo-Christian, counterpart, the Classical tradition has offered, well into the twentieth century, a powerful repertoire of cultural themes, images and symbols of human existence. This repertoire was often seen to parallel and complement the Biblical repertoire, while in its artistic, musical, and literary manifestations, would form the basis of the ‘Western canon’. Modern cultural movements, and especially the expressive and utilitarian revolutions of the 1960s, would set out to break these great images of the axial age. David’s mission would be to restore them

Performance Analysis and Optimization of Sparse Matrix-Vector Multiplication on Modern Multi- and Many-Core Processors

This paper presents a low-overhead optimizer for the ubiquitous sparse matrix-vector multiplication (SpMV) kernel. Architectural diversity among different processors together with structural diversity among different sparse matrices lead to bottleneck diversity. This justifies an SpMV optimizer that is both matrix- and architecture-adaptive through runtime specialization. To this direction, we present an approach that first identifies the performance bottlenecks of SpMV for a given sparse matrix on the target platform either through profiling or by matrix property inspection, and then selects suitable optimizations to tackle those bottlenecks. Our optimization pool is based on the widely used Compressed Sparse Row (CSR) sparse matrix storage format and has low preprocessing overheads, making our overall approach practical even in cases where fast decision making and optimization setup is required. We evaluate our optimizer on three x86-based computing platforms and demonstrate that it is able to distinguish and appropriately optimize SpMV for the majority of matrices in a representative test suite, leading to significant speedups over the CSR and Inspector-Executor CSR SpMV kernels available in the latest release of the Intel MKL library.Comment: 10 pages, 7 figures, ICPP 201

Monitoring Climate Finance in Developing Countries: Challenges and Next Steps

At the 18th Conference of the Parties to the United Nations Framework Convention on Climate Change (UNFCCC), the parties agreed to a standard format for developed countries to follow when reporting on the climate finance they provide to developing countries. Developed countries will use these formats for the first time when they submit their Biennial Reports to the UNFCCC in early 2014. Later in 2014, developing countries are expected to submit Biennial Update Reports showing the financial support that they have received. From initial attempts to measure and report climate finance by developed and developing countries, it is already apparent that information on finance provided is unlikely to match information on finance received.Aside from the reporting requirements of the UNFCCC, better financial data can help decision makers in developing countries identify gaps, improve coordination and management, and raise funds to mitigate and adapt to climate change. Better climate finance information can also enable countries to draw lessons from the use of different financial instruments and develop strategies and policies that aim to expand finance for climate change. Improved data will allow the information reported by developed countries to be cross-checked, thus promoting transparency, completeness, and accuracy. Finally, it can contribute to a more comprehensive picture of climate financial flows in relation to development assistance at the national and international levels. This working paper reports on three workshops in Asia, Africa, and Latin America, in which participants discussed some of the steps that developing countries and their international partners can take toward monitoring and tracking climate finance more effectively. More than 40 representatives from 20 developing countries, regional development banks, and national organizations attended the three workshops. Participants shared information on the limits of existing legislation and mandates, national planning and approval processes, financial management systems, efforts to coordinate among ministries and development partners, and many other unique challenges faced by the participating countries. WRI obtained additional information via a questionnaire, follow-up correspondence, and interviews with representatives of the countries