Enabling Entanglements to Emerge

From October 5 to 10, 2020, Performance Curators Initiative (PCI),1 a network of artists, curators, performance-makers, cultural workers, educators, practitioners, and enthusiasts based in the Philippines, held their third conference online via Zoom and streamed it on YouTube. Entitled “Conversations on Curation and Performance in the Time of Halting and Transformation,” I participated in this conference that opened a digital space for curators and performers around the world to talk about the effects of the global pandemic on the live arts. Connections, conversations, creative research, collaborations—as PCI founder and conference organizer Roselle Pineda notes—are the main focus of the network, which seeks to look at the relationship between “[p]erformance and curation, the role of curation in performance and role of performativity in curatorial practice” (from the network’s website). Pineda had invited me to register for the conference, which was focused on the role of curator as one who activates enabling spaces.

ROLE OF SOCIAL DETERMINANTS OF HEALTH IN PSYCHOLOGICAL DISTRESS AND READINESS FOR ONLINE LEARNING AMONG COLLEGE FILIPINO STUDENTS DURING THE COVID-19 PANDEMIC: A PILOT STUDY

Due to the COVID-19 pandemic, educational institutions in the Philippines rapidly introduced widespread online learning to ensure safety of learners. The purpose of this study was to explore the possible relationship of social determinants of health with COVID-19 specific psychological distress and the readiness of Filipino students to learn online. Researchers conducted an online survey of 30 college students from the Psychology program of Ateneo de Davao University in Davao City, Philippines. Results showed that students experienced mild (53.3%) to severe (36.7%) levels of COVID-19 specific psychological distress. COVID-19 specific psychological distress and readiness for online learning was not significantly correlated, r (30) = -.18, p = .35. Among social determinants of health, only living with family members was significantly associated with readiness for online learning, r (30) = -.37, p = .046. These findings showed promising findings on how social determinants of health may be associated with distress and online learner readiness during a global pandemic. Future studies may elaborate on the subjective experiences of students. Finally, this pilot study serves as a basis for the development of school programs that address students’ mental health and promote online learning readiness of students who are experiencing unique learning circumstances.

Performance Evaluation of Regression Analysis Algorithms in Predicting the Enrollment of Basic Education

The use of Linear Regression in predicting enrolment has been shown to be beneficial, although it varies with various datasets and attributes; varying weights of the correlation of the attributes can be discarded if they do not impact the prediction. Data collecting had grown since prior investigations, resulting in a more complicated dataset with many varieties. As a result of the data being created by multiple clerks, cleaning and combining proved tough; nonetheless, the fundamental parameters remain intact. Different algorithms were examined but Linear Regression obtained the highest accuracy with a 12.398 percentage for the absolute error and a root mean squared of 26.936 to create a tangible model to anticipate the enrolment of Region IVA CALABARZON in the Philippines. This demonstrates that it was 2.067 percentage points more than the prior research.

The Relationship of Child Labor and Globalization in the Philippines

The problem of child labor has long been studied by economists, and most of it focuses on the microeconomic perspective. For this study, the researchers have decided to shift their focus to macroeconomic analysis. This study focuses on the effects of globalization and economic growth on the prevalence of child labor in the Philippines, mainly focusing on globalization, by using time-series analysis. Studies suggested that there is an inverted U-shaped relationship between globalization and child labor in developing countries, while other studies have determined a U-shaped relationship. The findings of this study reveal that there is no U-shape relationship between the variables but instead follows a linear relationship between globalization and child labor in the Philippine context. However, the lack of data and research publication on a national scale could influence the empirical results. Furthermore, this research can be used as literature in future studies.