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In this paper we examine the validity of the J-curve hypothesis in four Southeast Asian economies (Indonesia, Malaysia, the Philippines and Thailand) over the 1980–2017 period.

We employ the linear autoregressive distributed lags (ARDL) model that captures the dynamic relationships between the variables and additionally use the nonlinear ARDL model that considers the asymmetric effects of the real exchange rate changes.

The estimated models were diagnostically sound, and the variables were found to be cointegrated. However, with the exception of Malaysia, the short- and long-run relationships did not attest to the presence of the J-curve effect. The trade flows were affected asymmetrically in Malaysia and the Philippines, suggesting the appropriateness of nonlinear ARDL in these countries.

The previous research tended to examine the effects of the real exchange rate changes on the agricultural trade balance and specifically the J-curve effect (deterioration of the trade balance followed by its improvement) in the developed economies and rarely in the developing ones. In this paper, we address this omission.

No matter how dominant a worldview is, there are always other ways of interpreting the world. (Littlebear, 2000, p. 79)

No matter how dominant a worldview is, there are always other ways of interpreting the world. (Littlebear, 2000, p. 79)

These words resonated with me when I first started my career in higher education in Canada 15 years after being a school teacher for much of my young adult life in México. Back then, in Mexico, I took for granted the way in which I lived my values. While there were instances and contexts where those values were challenged, it was not until I moved to Canada that I started redefining and reshaping my worldview, negotiating what was negotiable within me, and fighting to maintain my position in what was not negotiable. I am still learning to navigate the world of postsecondary education where I have learned that, as Siksika Elder Leroy Littlebear (2000) observes, “No one has a pure worldview that is 100 percent Indigenous or Eurocentric; rather, everyone has an integrated mind, a fluxing and ambidextrous consciousness” (p. 85). How then, do I show all of who I am when my position toward Indigenous history, culture, language, and values is informed by my own upbringing and experience and consequently might be perceived as “biased”?

This auto-ethnographic chapter addresses this question by presenting a case study where I reflect on Littlebear's (2000) observations on the fluidity of worldviews and the development of an “ambidextrous consciousness,” and how those principles have allowed me the space to be my authentic self despite the different ontological and axiological orientations I have encountered my work in higher education.

Estimation of (in)efficiency became a popular practice that witnessed applications in virtually any sector of the economy over the last few decades. Many different models were deployed for such endeavors, with Stochastic Frontier Analysis (SFA) models dominating the econometric literature. Among the most popular variants of SFA are Aigner, Lovell, and Schmidt (1977), which launched the literature, and Kumbhakar, Ghosh, and McGuckin (1991), which pioneered the branch taking account of the (in)efficiency term via the so-called environmental variables or determinants of inefficiency. Focusing on these two prominent approaches in SFA, the goal of this chapter is to try to understand the production inefficiency of public hospitals in Queensland. While doing so, a recognized yet often overlooked phenomenon emerges where possible dramatic differences (and consequently very different policy implications) can be derived from different models, even within one paradigm of SFA models. This emphasizes the importance of exploring many alternative models, and scrutinizing their assumptions, before drawing policy implications, especially when such implications may substantially affect people’s lives, as is the case in the hospital sector.

The purpose of this paper is to provide a transcript of a dialogue among literacy educators and researchers on the impact of generative aritficial intelligence (AI) in the field. In the spring of 2023, a lively conversation emerged on the National Council of Research on Language and Literacy (NCRLL)’s listserv. Stephanie initiated the conversation by sharing an op-ed she wrote for Atlanta Journal-Constitution about the rise of ChatGPT and similar generative AI platforms, moving beyond the general public’s concerns about student cheating and robot takeovers. NCRLL then convened a webinar of eight leading scholars in writing and literacies development, inspired by that listerv conversation and an organizational interest in promoting intergenerational collaboration among literacy scholars.

As former doctoral students of two of the panel participants, webinar facilitators Grace and Victoria positioned themselves primarily as learners about this topic and gathered questions from colleagues, P-16 practitioners and those outside the field of education to assess the concerns and wonderings that ChatGPT and generative AI have raised. The following webinar conversation was recorded on two different days due to scheduling conflicts. It has been merged and edited into one dialogue for coherence and convergence.

Panel participants raise a host of questions and issues that go beyond topics of ethics, morality and basic writing instruction. Furthermore, in dialogue with one another, they describe possibilities for meaningful pedagogy and critical literacy to ensure that generative AI is used for a socially just future for students. While the discussion addressed matters of pedagogy, definitions of literacy and the purpose of (literacy) education, other themes included a critique of capitalism; an interrogation of the systems of power and oppression involved in using generative AI; and the philosophical, ontological, ethical and practical life questions about being human.

This paper provides a glimpse into one of the first panel conversations about ChatGPT and generative AI in the field of literacy. Not only are the panel members respected scholars in the field, they are also former doctoral students and advisors of one another, thus positioning all involved as both learners and teachers of this new technology.

This theoretical paper introduces a conceptual framework for Personal Cultural Heritage Management (PCHM), derived from prior research on migrants' information practices. It elaborates on the literature background and the development of the PCHM framework, highlighting the role of personal information management (PIM) and personal collections in the creation, access and utilization of cultural heritage information.

The study describes and explains the construction of the PCHM framework as a structured and self-motivated approach to personal heritage and identity learning.

Following the theoretical background and assumptions, along with the presentation of the key building blocks, the paper describes the key components of the framework, outlines their definitions and provides examples.

Theoretically, PCHM extends the current literature by encapsulating processes and actions employed by individuals to manage personal collections for cultural identity purposes, thereby underscoring the critical role personal collections play in both preserving and communicating cultural heritage.

PCHM can guide the development of support systems and policies to enhance cultural continuity and integration, thus empowering individuals to navigate their cultural identities confidently.

The PCHM framework creates a unique intersection between PIM and cultural heritage, providing a new perspective for understanding the dynamic evolution and formation of cultural identity among migrants.

The study aims to introduce The Compass Project (TCP), designed to determine whether strengthening morality and practicing emotion management can reduce youth antisocial attitudes and behaviours and increase prosocial attitudes and behaviours.The programme activities are informed by the existing evidence base and incorporate theoretical explanations of the mechanisms that link psychological moral and emotional traits and behaviour.

This paper will offer a description of the programme design and content, TCP 2022 pilot study and crucially, discuss the utility of delivering programmes like TCP in wider settings (schools, youth offending teams and other youth organisations). TCP is currently being delivered in UK schools as a multi-site, longitudinal, RCT design.

Participant feedback from TCP 2022 pilot study is used to illustrate the potential impact of TCP for young people in future. The authors identify five challenges faced by researchers conducting youth intervention studies: access, recruitment, continued attendance, nature of participation (enthusiasm, engagement and task-focus) and full participant completion of data measures.

This pioneering study offers a novel methodology to increase law-abiding moral attitudes and behaviours in young people. This paper adopts a forward-thinking and scientific approach to identify practical solutions to key challenges faced when delivering youth interventions and is relevant for youth practitioners and academics worldwide.

TCP seeks to achieve improved youth attitudinal outcomes (such as law-aligned morality, empathy for others, measured decision-making and consideration of the consequences of action) and improved youth behavioural outcomes (such as improved quality of relationships with others, increased helping and prosocial behaviours, reduced antisocial behaviour and delinquency and reduced contact with criminal justice system-related organisations).

To the best of the authors’ knowledge, an evidence-based morality strengthening and emotion programme of this kind, closely aligned with a moral theory of rule-breaking, has not been developed before.

This paper aims to identify the income and price elasticities of demand for residential electricity in Latin America and the Caribbean (LAC) and to verify their main determinants.

Meta-analysis and meta-regression methods were applied. After collecting and filtering journal articles, the authors obtained a sample composed of 76 studies covering 1979–2020.

The results show that the LAC's income elasticity is approximately 0.20 and 0.92 for the short and long term, respectively. The LAC's price elasticity is approximately −0.37 and −0.46 for the short and long term, respectively. Furthermore, the estimates are affected by the data structure, the estimation method used and the sampling period.

The authors close a gap in the literature by analyzing the price and income elasticities of demand through meta-analysis and meta-regression.