18 research outputs found
A Bilingual Curriculum Materials Development
Many public school reading programs utilize basal reader texts. Any materials developed for use by bilingual students would be best keyed to the basal reader being utilized in the classroom. The Ginn 720 series is one such basal reader series. Developing materials for use by bilingual students in conjunction with the Ginn 720 series would insure that the materials would be used by the classroom teacher. Focusing on a level in the series which is subsequent to the initial levels could demonstrate the utility of these materials in meeting the on-going needs of bilingual students. Level 7 is generally used by students in third grade, and the third grade is generally the grade selected for making the transition from the student\u27s native language to that of English. Therefore, the purpose of this project is to develop supplementary reading materials keyed to the Ginn 720 Basal Reader, Level 7, for use by the regular classroom teacher in order to instruct the Spanish-speaking student in vocabulary skills. Focus on vocabulary skills, a principal activity in any reading curriculum and one which is a prerequisite to so many other reading skills, would greatly assist this bilingual student. These curriculum materials will be reviewed by local experts in education in the northeast Florida area in order to obtain input for their refinement
What increases (social) media attention: Research impact, author prominence or title attractiveness?
Do only major scientific breakthroughs hit the news and social media, or does
a 'catchy' title help to attract public attention? How strong is the connection
between the importance of a scientific paper and the (social) media attention
it receives? In this study we investigate these questions by analysing the
relationship between the observed attention and certain characteristics of
scientific papers from two major multidisciplinary journals: Nature
Communication (NC) and Proceedings of the National Academy of Sciences (PNAS).
We describe papers by features based on the linguistic properties of their
titles and centrality measures of their authors in their co-authorship network.
We identify linguistic features and collaboration patterns that might be
indicators for future attention, and are characteristic to different journals,
research disciplines, and media sources.Comment: Paper presented at 23rd International Conference on Science and
Technology Indicators (STI 2018) in Leiden, The Netherland
Success and luck in creative careers
Luck is considered to be a crucial ingredient to achieve impact in all
creative domains, despite their diversity. For instance, in science, the movie
industry, music, and art, the occurrence of the highest impact work and of a
hot streak within a creative career are very difficult to predict. Are there
domains that are more prone to luck than others? Here, we provide new insights
on the role of randomness in impact in creative careers in two ways: (i) we
systematically untangle luck and individual ability to generate impact in the
movie, music, and book industries, and in science, and compare the luck factor
between these fields; (ii) we show the limited predictive power of
collaboration networks to predict career hits. Taken together, our analysis
suggests that luck consistently affects career impact across all considered
sectors and improves our understanding in pinpointing the key elements in the
prediction of success
Elites, communities and the limited benefits of mentorship in electronic music
While the emergence of success in creative professions, such as music, has been studied extensively, the link between individual success and collaboration is not yet fully uncovered. Here we aim to fill this gap by analyzing longitudinal data on the co-releasing and mentoring patterns of popular electronic music artists appearing in the annual Top 100 ranking of DJ Magazine. We find that while this ranking list of popularity publishes 100 names, only the top 20 is stable over time, showcasing a lock-in effect on the electronic music elite. Based on the temporal co-release network of top musicians, we extract a diverse community structure characterizing the electronic music industry. These groups of artists are temporally segregated, sequentially formed around leading musicians, and represent changes in musical genres. We show that a major driving force behind the formation of music communities is mentorship: around half of musicians entering the top 100 have been mentored by current leading figures before they entered the list. We also find that mentees are unlikely to break into the top 20, yet have much higher expected best ranks than those who were not mentored. This implies that mentorship helps rising talents, but becoming an all-time star requires more. Our results provide insights into the intertwined roles of success and collaboration in electronic music, highlighting the mechanisms shaping the formation and landscape of artistic elites in electronic music
Group chasing tactics: how to catch a faster prey
We propose a bio-inspired, agent-based approach to describe the natural phenomenon of group chasing in both two and three dimensions. Using a set of local interaction rules we created a continuous-space and discrete-time model with time delay, external noise and limited acceleration. We implemented a unique collective chasing strategy, optimized its parameters and studied its properties when chasing a much faster, erratic escaper. We show that collective chasing strategies can significantly enhance the chasers’ success rate. Our realistic approach handles group chasing within closed, soft boundaries—in contrast with the periodic ones in most published literature—and resembles several properties of pursuits observed in nature, such as emergent encircling or the escaper’s zigzag motion
Elites, communities and the limited benefits of mentorship in electronic music
While the emergence of success in creative professions, such as music, has been studied extensively, the link between individual success and collaboration is not yet fully uncovered. Here we aim to fill this gap by analyzing longitudinal data on the co-releasing and mentoring patterns of popular electronic music artists appearing in the annual Top 100 ranking of DJ Magazine. We find that while this ranking list of popularity publishes 100 names, only the top 20 is stable over time, showcasing a lock-in effect on the electronic music elite. Based on the temporal co-release network of top musicians, we extract a diverse community structure characterizing the electronic music industry. These groups of artists are temporally segregated, sequentially formed around leading musicians, and represent changes in musical genres. We show that a major driving force behind the formation of music communities is mentorship: around half of musicians entering the top 100 have been mentored by current leading figures before they entered the list. We also find that mentees are unlikely to break into the top 20, yet have much higher expected best ranks than those who were not mentored. This implies that mentorship helps rising talents, but becoming an all-time star requires more. Our results provide insights into the intertwined roles of success and collaboration in electronic music, highlighting the mechanisms shaping the formation and landscape of artistic elites in electronic music.Peer reviewe
What increases (social) media attention: Research impact, author prominence or title attractiveness?
Do only major scientific breakthroughs hit the news and social media, or does a `catchy' title help to attract public attention? How strong is the connection between the importance of a scientific paper and the (social) media attention it receives? In this study we investigate these questions by analysing the relationship between the observed attention and certain characteristics of scientific papers from two major multidisciplinary journals: Nature Communication (NC) and Proceedings of the National Academy of Sciences (PNAS). We describe papers by features based on the linguistic properties of their titles and centrality measures of their authors in their co-authorship network. We identify linguistic features and collaboration patterns that might be indicators for future attention, and are characteristic to different journals, research disciplines, and media sources
What increases (social) media attention: Research impact, author prominence or title attractiveness?
Do only major scientific breakthroughs hit the news and social media, or does a `catchy' title help to attract public attention? How strong is the connection between the importance of a scientific paper and the (social) media attention it receives? In this study we investigate these questions by analysing the relationship between the observed attention and certain characteristics of scientific papers from two major multidisciplinary journals: Nature Communication (NC) and Proceedings of the National Academy of Sciences (PNAS). We describe papers by features based on the linguistic properties of their titles and centrality measures of their authors in their co-authorship network. We identify linguistic features and collaboration patterns that might be indicators for future attention, and are characteristic to different journals, research disciplines, and media sources