Reports From the Field: “Vini Ansanm” Come Together for Inclusive Community Music Development in Port-au-Prince, Haiti

2020 ◽  
pp. 273-289
Author(s):  
Donald DeVito ◽  
Gertrude Bien-Aime ◽  
Hannah Ehrli ◽  
Jamie Schumacher
Keyword(s):  
Social Media ◽  
Inclusive Education ◽  
Children With Disabilities ◽  
Small Population ◽  
Significant Loss ◽  
Community Music ◽  
Music Learning ◽  
Loss Of Life

Haiti has experienced a series of catastrophic natural disasters in recent decades, resulting in significant loss of life and long-term damage to infrastructure. One critical outcome of these disasters is that there are approximately 400,000 orphans in the small population of just over 10 million. Throughout Haiti, children with disabilities are often considered cursed, and thus are rejected by the community in which they live. Haitian children with disabilities need creative and educational activities that will help them grow, develop, enjoy their lives, and become accepted members of the community. This chapter on the Haitian Center for Inclusive Education presents a case study of social media engagement and music learning, with an emphasis on social justice that has contributed to sustainable efforts.

scholarly journals Nutrient retention behind a tropical mega-dam: a case study of the Sardar Sarovar Dam, India

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Harish Gupta ◽  
S. Kiran Kumar Reddy ◽  
Mounika Chiluka ◽  
Vamshikrishna Gandla
Keyword(s):  
Arabian Sea ◽  
Inorganic Nitrogen ◽  
Nutrient Retention ◽  
Significant Loss ◽  
N Removal ◽  
Narmada River ◽  
Sardar Sarovar ◽  
The Impact

AbstractIn this study, we demonstrate the impact of the construction of a mega-dam on the nutrient export regime of a large tropical river into the Arabian Sea. Long-term (11 years) fortnight nutrient parameters, upstream and downstream to Sardar Sarovar (SS) Dam, were examined to determine the periodical change in nutrient fluxes from the Narmada River, India. During this 11-year period, the average discharge of the Narmada River upstream to Rajghat (35.3 km3 year−1) was higher than that of downstream at Garudeshwar (33.9 km3 year−1). However, during the same period, the suspended sediment load was reduced by 21 million tons (MT) from 37.9 MT at Rajghat to 16.7 MT at Garudeshwar. Similarly, mean concentrations of dissolved silica (DSi) reduced from 470 (upstream) to 214 µM (downstream), dissolved inorganic phosphate (DIP) from 0.84 to 0.38 µM, and dissolved inorganic nitrogen (DIN) from 43 to 1.5 µM. It means that about 54%, 55%, and 96% flux of DSi, DIP, and DIN retained behind the dam, respectively. The estimated denitrification rate (80,000 kg N km−2 year−1) for the reservoir is significantly higher than N removal by lentic systems, globally. We hypothesize that processes such as biological uptake and denitrification under anoxic conditions could be a key reason for the significant loss of nutrients, particularly of DIN. Finally, we anticipated that a decline in DIN fluxes (by 1.13 × 109 mol year−1) from the Narmada River to the Arabian Sea might reduce the atmospheric CO2 fixation by 7.46 × 109 mol year−1.

scholarly journals Crowdsourcing and machine learning approaches for extracting entities indicating potential foodborne outbreaks from social media

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Dandan Tao ◽  
Dongyu Zhang ◽  
Ruofan Hu ◽  
Elke Rundensteiner ◽  
Hao Feng
Keyword(s):  
Social Media ◽  
Economic Loss ◽  
Consumer Confidence ◽  
Learning Approaches ◽  
Entity Extraction ◽  
Foodborne Illnesses ◽  
Loss Of Life ◽  
Foodborne Outbreaks ◽  
Significant Economic Loss

AbstractFoodborne outbreaks are a serious but preventable threat to public health that often lead to illness, loss of life, significant economic loss, and the erosion of consumer confidence. Understanding how consumers respond when interacting with foods, as well as extracting information from posts on social media may provide new means of reducing the risks and curtailing the outbreaks. In recent years, Twitter has been employed as a new tool for identifying unreported foodborne illnesses. However, there is a huge gap between the identification of sporadic illnesses and the early detection of a potential outbreak. In this work, the dual-task BERTweet model was developed to identify unreported foodborne illnesses and extract foodborne-illness-related entities from Twitter. Unlike previous methods, our model leveraged the mutually beneficial relationships between the two tasks. The results showed that the F1-score of relevance prediction was 0.87, and the F1-score of entity extraction was 0.61. Key elements such as time, location, and food detected from sentences indicating foodborne illnesses were used to analyze potential foodborne outbreaks in massive historical tweets. A case study on tweets indicating foodborne illnesses showed that the discovered trend is consistent with the true outbreaks that occurred during the same period.

Can The Disabled Musician Sing?

2020 ◽  
pp. 567-589
Author(s):  
Adam Patrick Bell ◽  
Jesse Rathgeber
Keyword(s):  
Social Media ◽  
Assistive Technology ◽  
Disability Studies ◽  
Critical Case ◽  
Music Learning ◽  
Viral Video ◽  
Music Making ◽  
The Disabled ◽  
Critical Case Study

This chapter investigates uses of social media by disabled musicians/musicians with disabilities (DM/MwD). It first frames social media as assistive technology, examining how the platforms SingSnap, Bandhub, and Facebook are used by disabled musicians/musicians with disabilities to connect with others and create content. The discussion proceeds with an examination of how this content is perceived and may be (mis)represented and (mis)appropriated by nondisabled audiences. Using a viral video of Julia Maritza Ceja Medina as a critical case study, the analysis applies disability studies literature by examining how content generated by disabled musicians/musicians with disabilities can become inspiration pornography. The authors conclude by noting both the positive and problematic potentials of social media in the music learning and music making of disabled musicians/musicians with disabilities.

Music facilitation for promoting well being through the lifecourse

2021 ◽  
Vol 14 (1) ◽  
pp. 81-101 ◽  
Author(s):  
Maria Varvarigou ◽  
Lee Willingham ◽  
Vicky Abad ◽  
Jonny Poon
Keyword(s):  
Well Being ◽  
Community Music ◽  
Music Learning ◽  
Quality Of Life Research ◽  
Music Making ◽  
Growing Body ◽  
Diverse Community ◽  
Community Contexts

A growing body of research is concerned with how lifelong music learning and participation in community contexts may support well being and quality of life. Research focused on how non-formal community music learning and participation can be supported and facilitated is more limited. This article sets out three case study examples of the ways in which facilitators of music learning in diverse community contexts (including the home) can be supported and trained. Following these examples, a model for music facilitation is presented and discussed, highlighting key tools for supporting active music-making across the lifecourse.

scholarly journals Crowdsourcing and Machine Learning Approaches for Extracting Entities Indicating Potential Foodborne Outbreaks From Social Media

2021 ◽  
Author(s):  
Dandan Tao ◽  
Dongyu Zhang ◽  
Ruofan Hu ◽  
Elke Rundensteiner ◽  
Hao Feng
Keyword(s):  
Social Media ◽  
Economic Loss ◽  
Consumer Confidence ◽  
Learning Approaches ◽  
Entity Extraction ◽  
Foodborne Illnesses ◽  
Loss Of Life ◽  
Foodborne Outbreaks ◽  
Significant Economic Loss

Abstract Foodborne outbreaks are a serious but preventable threat to public health that often lead to illness, loss of life, significant economic loss, and the erosion of consumer confidence. Understanding how consumers respond when interacting with foods, as well as extracting information from posts on social media may provide new means of reducing the risks and curtailing the outbreaks. In recent years, Twitter has been employed as a new tool for identifying unreported foodborne illnesses. However, there is a huge gap between the identification of sporadic illnesses and the early detection of a potential outbreak. In this work, the dual-task BERTweet model was developed to identify unreported foodborne illnesses and extract foodborne-illness-related entities from Twitter. Unlike previous methods, our model leveraged the mutually beneficial relationships between the two tasks. The results showed that the F1-score of relevance prediction was 0.87, and the F1-score of entity extraction was 0.61. Key elements such as time, location, and food detected from sentences indicating foodborne illnesses were used to analyze potential foodborne outbreaks in massive historical tweets. A case study on tweets indicating foodborne illnesses showed that the discovered trend is consistent with the true outbreaks that occurred during the same period.

scholarly journals Isomorphic Mimicry and Social Inclusion: an Analysis of the Capability of Wonosobo District Government in Implementing the Inclusive Education Policy

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Fernandito Dikky Marsetyo ◽  
Nurhadi Nurhadi
Keyword(s):  
Education Policy ◽  
Inclusive Education ◽  
Social Inclusion ◽  
Children With Disabilities ◽  
Descriptive Analysis ◽  
Case Study Approach ◽  
Study Approach ◽  
District Government ◽  
Inclusive Education Policy

This article examines the implementation of the inclusive education policy to provide educational services for children with disabilities. Using a conceptual framework concerning disability and social inclusion, and isomorphic mimicry and capability, this article aims to explain Wonosobo District Government's capability in implementing inclusive education policy. This article is based on a qualitative study, using a case study approach with descriptive analysis. We argue that Wonosobo District Government's capability to implement inclusive education policy is in a weak or limited position (weak capability). This is a depiction of isomorphic mimicry, where the inclusive education policy in Wonosobo District seems to be functional. As its implication, children with disabilities are vulnerable to being excluded from obtaining inclusive education services.

scholarly journals Privacy and Digital Data of Children with Disabilities: Scenes from Social Media Sharenting

2020 ◽  
Vol 8 (4) ◽  
pp. 218-228
Author(s):  
Gerard Goggin ◽  
Katie Ellis
Keyword(s):  
Social Media ◽  
Data Management ◽  
Digital Technology ◽  
Children With Disabilities ◽  
Digital Data ◽  
Policy Agenda ◽  
Social Media Platform ◽  
Media Platform ◽  
Research And Policy

Children with disabilities have been an overlooked group in the debates on privacy and data management, and the emergence of discourses on responsibilization. In this article, we offer a preliminary overview, conceptualization, and reflection on children with disabilities, their experiences and perspectives in relation to privacy and data when it comes to existing and emergent digital technology. To give a sense of the issues at play, we provide a brief case study of “sharenting” on social media platform (that is, sharing by parents of images and information about their children with disabilities). We conclude with suggestions for the research and policy agenda in this important yet neglected area.

scholarly journals THE ROLE OF MULTINATIONAL CORPORATIONS IN COUNTERING TERRORISM: THE CASE OF TELEGRAM IN INDONESIA

2018 ◽  
Vol 1 (2) ◽  
pp. 125
Author(s):  
Risnanda P. Irawan ◽  
Fahri S. Altakwa ◽  
Victoria M. Pakpahan
Keyword(s):  
Social Media ◽  
International Trade ◽  
Multinational Corporations ◽  
Qualitative Data ◽  
Proactive Approach ◽  
Strategic Commitment ◽  
The Social

In this globalization era, there are new emerging actors especially in international trade which is the multinational corporations (MNCs). On the other side, there is terrorism which has evolved throughout history. It is perceived that globalization and international trade can be a factor of terrorist establishment, while massive destructions by terrorism is crucial as a factor for the international business and multinational corporations to operate. One of the product by multinational corporations is in social media sector, and nowadays,terrorist also can use the social media to recruit their member which challenging multinational corporations. In explaining this phenomenon, this paper will use the case study of Telegram in Indonesia. This paper will cover the correlations between terrorism and MNCs, the particular case study of Telegram, and addressing the role of MNCs in countering terrorism through qualitative data gathered from various books, journals, and news. In conclusion, the MNCs should play role as a proactive approach in the long term to counter terrorism through cooperation with government and its own strategic commitment in contributing to a secure society.   Keywords: Multinational Corporations; Terrorism; Social Media;     Abstract   Pada era globalisasi, hadir aktor-aktor baru dalam perdagangan internasional, atau yang kita kenal sebagai perusahaan multinasional. Di sisi lain, terorisme terus berkembang seiring zaman. Berhubungan dengan hal ini, terdapat gagasan bahwa globalisasi dan perdagangan internasional dapat menjadi faktor dalam kemunculan kelompok-kelompok teroris, sebaliknya kerusakan dan dampak yang ditimbulkan oleh kegiatan terorisme juga merupakan faktor yang penting bagi bisnis internasional dan perusahaan multinasional dalam menjalankan kegiatan operasionalnya. Salah satu produk dari perusahaan multinasional adalah sektor media sosial, dan dalam perkembangannya, teroris juga dapat menggunakan media sosial untuk merekrut anggota dan menjalankan kegiatan mereka, di mana hal ini menimbulkan tantangan baru bagi perusahaan multinasional tersebut. Dalam menjelaskan fenomena ini, makalah ini akan menggunakan kasus Telegram di Indonesia sebagai studi kasus. Di dalamnya akan mencakup korelasi antara terorisme dan perusahaan multinasional, pembahasan spesifik mengenai kasus Telegram, dan bagaimana perusahaan multinasional dapat mengambil peran dalam mengatasi masalah terorisme. Pembahasan makalah ini akan menggunakan metode kualitatif melalui data yang dikumpulkan dari buku, jurnal, dan berita. Sebagai kesimpulan, perusahaan multinasional diharapkan untuk dapat berperan proaktif terutama dalam pemberantasan terorisme dalam jangka panjang melalui kerja-sama dengan pemerintah dan melalui implementasi komitmen perusahaan dalam membangun masyarakat dan lingkungan yang aman.   Keywords: Perusahaan Multinasional; Terorisme; Media Sosial;  

scholarly journals Dealing with digital intermediaries: A case study of the relations between publishers and platforms

2017 ◽  
Vol 20 (4) ◽  
pp. 1600-1617 ◽  
Author(s):  
Rasmus Kleis Nielsen ◽  
Sarah Anne Ganter
Keyword(s):  
Social Media ◽  
20Th Century ◽  
News Media ◽  
Short Term ◽  
Media Environment ◽  
Fear Of Missing Out ◽  
The Media ◽  
Media Organizations

The rise of digital intermediaries such as search engines and social media is profoundly changing our media environment. Here, we analyze how news media organizations handle their relations to these increasingly important intermediaries. Based on a strategic case study, we argue that relationships between publishers and platforms are characterized by a tension between (1) short-term, operational opportunities and (2) long-term strategic worries about becoming too dependent on intermediaries. We argue that these relationships are shaped by news media’s fear of missing out, the difficulties of evaluating the risk/reward ratios, and a sense of asymmetry. The implication is that news media that developed into an increasingly independent institution in the 20th century—in part enabled by news media organizations’ control over channels of communication—are becoming dependent upon new digital intermediaries that structure the media environment in ways that not only individual citizens but also large, resource-rich, powerful organizations have to adapt to.

Caregivers' Perceptions of Speech-Language Pathologist Talk About Child Language and Literacy Disorders

2020 ◽  
Vol 29 (4) ◽  
pp. 2049-2067
Author(s):  
Karmen L. Porter ◽  
Janna B. Oetting ◽  
Loretta Pecchioni
Keyword(s):  
Language And Literacy ◽  
Collective Case Study ◽  
Study Approach ◽  
School Aged Children ◽  
Speech Language Pathologist ◽  
Therapy Goals ◽  
Semistructured Interviews ◽  
Types Of Information

Purpose This study examined caregiver perceptions of their child's language and literacy disorder as influenced by communications with their speech-language pathologist. Method The participants were 12 caregivers of 10 school-aged children with language and literacy disorders. Employing qualitative methods, a collective case study approach was utilized in which the caregiver(s) of each child represented one case. The data came from semistructured interviews, codes emerged directly from the caregivers' responses during the interviews, and multiple coding passes using ATLAS.ti software were made until themes were evident. These themes were then further validated by conducting clinical file reviews and follow-up interviews with the caregivers. Results Caregivers' comments focused on the types of information received or not received, as well as the clarity of the information. This included information regarding their child's diagnosis, the long-term consequences of their child's disorder, and the connection between language and reading. Although caregivers were adept at describing their child's difficulties and therapy goals/objectives, their comments indicated that they struggled to understand their child's disorder in a way that was meaningful to them and their child. Conclusions The findings showed the value caregivers place on receiving clear and timely diagnostic information, as well as the complexity associated with caregivers' understanding of language and literacy disorders. The findings are discussed in terms of changes that could be made in clinical practice to better support children with language and literacy disorders and their families.

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