A discourse dynamics exploration of attitudinal responses towards COVID-19 in academia and media

2021 ◽  
Author(s):  
Jihua Dong ◽  
Louisa Buckingham ◽  
Hao Wu
Keyword(s):  
Dynamic Systems ◽  
Social Factors ◽  
Corpus Linguistics ◽  
Developmental Trajectories ◽  
Media Discourse ◽  
Dynamic Systems Theory ◽  
Complex Dynamic ◽  
Developmental Patterns ◽  
Complex Dynamic Systems ◽  
The Social

Abstract This study analyzes attitudinal positioning in academic and media discourse pertaining to COVID-19 from the COVID-19 Corpus and Coronavirus Corpus, using a discourse dynamics approach. Underpinning this approach is the Complex Dynamic Systems Theory (CDST), which we employ to examine the discursive practices of a discourse event across time periods (timescales). The analysis identified significant differences in attitudinal markers and noteworthy developmental patterns in attitude positioning; the developmental trajectories of attitude construction were characterized by a nonlinear developmental pattern subject to fluctuations and variability. We also discerned the existence of dynamic interaction between the uses of attitudinal markers and the reported cases of COVID-19. Methodologically, we demonstrate how the integration of the discourse dynamics approach with corpus linguistics strengthens the social contextualization of data by enabling the identification of developmental patterns of targeted language features over time, and the interconnections of these language features with contextually important social factors.

scholarly journals Variability as normal as apple pie

2021 ◽  
Vol 7 (s2) ◽  
Author(s):  
Marjolijn Verspoor ◽  
Wander Lowie ◽  
Kees de Bot
Keyword(s):  
Dynamic Systems ◽  
Dynamic Systems Theory ◽  
Complex Dynamic ◽  
Controlled Processes ◽  
Complex Dynamic Systems ◽  
L2 Development ◽  
Limited Degree ◽  
Development Phases ◽  
Longitudinal Case Studies ◽  
Over Time

Abstract In recent studies in second language (L2) development, notably within the focus of Complex Dynamic Systems Theory (CDST), non-systematic variation has been extensively studied as intra-individual variation, which we will refer to as variability. This paper argues that variability is functional and is needed for development. With examples of four longitudinal case studies we hope to show that variability over time provides valuable information about the process of development. Phases of increased variability in linguistic constructions are often a sign that the learner is trying out different constructions, and as such variability can be evidence for change, and change can be learning. Also, a limited degree of variability is inherent in automatic or controlled processes. Conversely, the absence of variability is likely to show that no learning is going on or the system is frozen.

Toward a transdisciplinary integration of research purposes and methods for complex dynamic systems theory: beyond the quantitative–qualitative divide

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Phil Hiver ◽  
Ali H. Al-Hoorie ◽  
Diane Larsen-Freeman
Keyword(s):  
Systems Theory ◽  
Dynamic Systems ◽  
Applied Linguistics ◽  
Integrated Approach ◽  
Dynamic Systems Theory ◽  
Complex Dynamic ◽  
Transdisciplinary Approach ◽  
Complex Dynamic Systems ◽  
Human And Social Sciences ◽  
Starting Point

Abstract Complexity theory/dynamic systems theory has challenged conventional approaches to applied linguistics research by encouraging researchers to adopt a pragmatic transdisciplinary approach that is less paradigmatic and more problem-oriented in nature. Its proponents have argued that the starting point in research design should not be the quantitative–qualitative distinction, or even mixed methods, but the distinction between individual versus group-based designs (i.e., idiographic versus nomothetic). Taking insights from transdisciplinary complexity research in other human and social sciences, we propose an integrative transdisciplinary framework that unites these different perspectives (quantitative–qualitative, individual–group based) from the starting point of exploratory–falsificatory aims. We discuss the implications of this transdisciplinary approach to applied linguistics research and illustrate how such an integrated approach might be implemented in the field.

Complex dynamic systems in students of interpreting training

2018 ◽  
Vol 13 (2) ◽  
pp. 185-207 ◽  
Author(s):  
Yanping Dong
Keyword(s):  
Dynamic Systems ◽  
Empirical Data ◽  
Self Organization ◽  
Future Research ◽  
Dynamic Systems Theory ◽  
Complex Dynamic ◽  
Initial State ◽  
Cognitive Changes ◽  
Complex Dynamic Systems ◽  
Contradictory Data

Abstract Students of interpreting training may go through drastic cognitive changes, but current empirical findings are disparate and isolated. To integrate these findings and to obtain a better understanding of interpreting training, the present article tries to reinterpret students of interpreting training as complex dynamic systems. Relying primarily on longitudinal empirical data from several existing studies, the article illustrates how the initial state of some key parameters influences the progress of the systems, how the parameters themselves evolve, and how interpreting competence develops as a result of self-organization. The hope is that a metatheoretical framework such as Dynamic Systems Theory will allow specific findings and particularistic models for interpreting training to be integrated. Moreover, this approach may allow false dichotomies in the field to be overcome and seemingly contradictory data in empirical reports to be better understood, thereby providing guidelines for future research.

A Complex Dynamic Systems Perspective on Personal Background Variables in L1 Attrition

2019 ◽  
pp. 48-60
Author(s):  
Conny Opitz
Keyword(s):  
Second Language Acquisition ◽  
Dynamic Systems ◽  
First Language ◽  
Dynamic Systems Theory ◽  
Complex Dynamic ◽  
Systems Perspective ◽  
Complex Dynamic Systems ◽  
L1 Attrition ◽  
L1 And L2 ◽  
Analytical Approaches

This chapter discusses the methodological challenges associated with studying personal background variables in first language (L1) attrition from the perspective of Complex Dynamic Systems Theory (CDST). It starts with a review of extant research which, despite concerted efforts to design rigorous, comparable studies, to date has not turned up strong, unambiguous predictors for L1 attrition. I argue that this failure lies in the nature of language as a complex dynamic system, and consequently in the properties of variables, their interaction, and varying contribution to the process and outcome of L1 attrition, and indeed to L1 and L2 (second language) acquisition in the larger context of multilingual development. CDST provides a challenge not just for common empirical and analytical approaches to attrition, but for the very notion of ‘predictor’. The chapter concludes by discussing some ways in which the current stalemate may be overcome.

scholarly journals Tracking the dynamic nature of learner individual differences: Initial results from a longitudinal study

2020 ◽  
Vol 10 (1) ◽  
pp. 177-219
Author(s):  
Daniel Jung ◽  
Megan DiBartolomeo ◽  
Fernando Melero-García ◽  
Lindsay Giacomino ◽  
Laura Gurzynski-Weiss ◽  
...  
Keyword(s):  
Individual Differences ◽  
Second Language Acquisition ◽  
Dynamic Systems ◽  
First Year ◽  
Dynamic Systems Theory ◽  
Complex Dynamic ◽  
Dynamic Nature ◽  
Complex Dynamic Systems ◽  
University Level ◽  
Initial Results

Individual differences (IDs) have long been considered one of the most important factors explaining variable rates and outcomes in second language acquisition (Dewaele, 2013). While traditional operationalizations of IDs have, explicitly or implicitly, assumed that IDs are static traits that are stable through time, more recent research inspired by complex dynamic systems theory (Larsen-Freeman, 1997, 2020) demonstrates that many IDs are dynamic and variable through time and across contexts, a theme echoed throughout the current issue. This study reports the initial semester of a diachronic project investigating the dynamicity of four learner IDs: motivation, personality, learning and cognitive styles, and working memory. In the initial semester, data from 323 participants in their first year of university-level Spanish were collected and analyzed to determine what type of variability may be present across learners with respect to the four IDs studied at one time point and to discern possible learner profiles in the data or patterns via which the data may be otherwise meaningfully described. The results revealed four types of learner profiles present in the dataset.

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