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Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Transforming Minnesota\u27s Early Care and Education Infrastructure
Get PDFIn 2021, the Minnesota legislature authorized the Great Start for All task force to present recommendations for how the state can provide “access to affordable, high-quality early care and education that enriches, nurtures, and supports children and their families,” to “all families” in Minnesota.
The early care and education landscape in Minnesota has experienced dramatic changes in programming and investments over the last twenty years. In the early 2000s, the state’s primary child care subsidy program, the Child Care Assistance Program (CCAP), was moved from the Department of Children, Families and Learning to the Department of Human Services in an administrative restructuring. For several years after this change, partially as a result of the Great Recession, the program experienced disinvestment leaving it significantly behind other state subsidy programs.
While the state was disinvesting in child care, economic researchers at the Federal Reserve Bank of Minneapolis was publishing groundbreaking research in the high public return of investment in quality early childhood development programs.
Instead of re-investing in CCAP, the state instead invested in multiple pilot programs and/or partial early childhood investments, most notably the Early Learning Scholarship program. While well-intentioned, the abundance of programs led to a complex and confusing system, for both families and early care and education providers, as highlighted by a 2018 Office of Legislative Auditor (OLA) audit of Early Childhood Programs.
Today, the Great Start for All task force provides an opportunity for transformational change in the early care and education landscape. Unfortunately, many in the early care and education community are pessimistic about the task force putting forward a proposal that is both substantive and implementable. Those invested in early care and education struggle to reconcile the promise of high-quality care, on-going disparities in access and workforce development, and how to create government programs with program integrity measures that work for families, early care and education providers, and funders.
Part One of this paper will provide contextual information about early care and education and the history of public investment, or lack thereof, across the country. Part Two of this paper will identify and summarize the primary challenges and opportunities in Minnesota’s early care and education ecosystem and reform efforts over the last decade. Part Three of this paper will lay priorities and a pathway for progress that could be implemented at the state level to realize a universal, affordable, high-quality early care and education system for all Minnesota children
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Transforming Minnesota\u27s Early Care and Education Infrastructure
No full textIn 2021, the Minnesota legislature authorized the Great Start for All task force to present recommendations for how the state can provide “access to affordable, high-quality early care and education that enriches, nurtures, and supports children and their families,” to “all families” in Minnesota.
The early care and education landscape in Minnesota has experienced dramatic changes in programming and investments over the last twenty years. In the early 2000s, the state’s primary child care subsidy program, the Child Care Assistance Program (CCAP), was moved from the Department of Children, Families and Learning to the Department of Human Services in an administrative restructuring. For several years after this change, partially as a result of the Great Recession, the program experienced disinvestment leaving it significantly behind other state subsidy programs.
While the state was disinvesting in child care, economic researchers at the Federal Reserve Bank of Minneapolis was publishing groundbreaking research in the high public return of investment in quality early childhood development programs.
Instead of re-investing in CCAP, the state instead invested in multiple pilot programs and/or partial early childhood investments, most notably the Early Learning Scholarship program. While well-intentioned, the abundance of programs led to a complex and confusing system, for both families and early care and education providers, as highlighted by a 2018 Office of Legislative Auditor (OLA) audit of Early Childhood Programs.
Today, the Great Start for All task force provides an opportunity for transformational change in the early care and education landscape. Unfortunately, many in the early care and education community are pessimistic about the task force putting forward a proposal that is both substantive and implementable. Those invested in early care and education struggle to reconcile the promise of high-quality care, on-going disparities in access and workforce development, and how to create government programs with program integrity measures that work for families, early care and education providers, and funders.
Part One of this paper will provide contextual information about early care and education and the history of public investment, or lack thereof, across the country. Part Two of this paper will identify and summarize the primary challenges and opportunities in Minnesota’s early care and education ecosystem and reform efforts over the last decade. Part Three of this paper will lay priorities and a pathway for progress that could be implemented at the state level to realize a universal, affordable, high-quality early care and education system for all Minnesota children
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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