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Taking a Systemic Functional Linguistic perspective, this book explores how language builds our knowledge about the past and gives value to historical events, thereby shaping contemporary culture. It brings together cutting-edge research from an international team of scholars to provide a detailed study of texts from three different world languages (English, Spanish, and Mandarin Chinese) – revealing how the discourse of history is constructed in these languages. Each chapter provides examples and step-by-step analyses of how knowledge and value are constructed in history texts, drawing on Systemic Functional Linguistics to develop theory and description in relation to text analysis. It also makes connections with disciplinary literacy and history education, showing how linguistic findings can benefit the teaching and learning of historical literacy. Providing theoretical and analytical foundations for studies of the discourse of history, it is essential reading for anyone interested in literacy, discourse analysis, and language description.
Multimodality has most recently been described no longer as a research field or discipline on its own, but rather as a “stage of development within a field” (Bateman 2022a, 49). The realization that (1) many different fields and disciplines now enter their own multimodal phase with new interest in multimodal phenomena and that (2) these disciplines all commit to the development of multimodality research with their own theoretical principles and methodological tools, brings with it not only an immense breadth of potential analytical objects, but also many new meta-methodological issues. “We need to find ways of ‘combining’ insights from the variously imported theoretical and methodo...
Using a unified methodological and theoretical framework, this book compares interpersonal grammar systems across different languages.
Systemic Functional Linguistics (SFL) is a usage-based theory of language, founded on the assumption that language is shaped entirely by its various functions in the contexts in which it used. The first of its kind, this book advances SFL by applying it comparatively to English, Spanish and Chinese. By analysing English alongside two other, typologically very different major world languages, it shows how SFL can effectively address two central issues in linguistics – namely typology and universals. It concentrates in particular on argumentation, carefully explaining how descriptions of nominal group, verbal group and clause systems and structures are motivated, and draws on examples from key texts which display a full range of ideational, interpersonal and textual grammar resources. By working across three world languages from a text-based perspective, and demonstrating how grammar descriptions can be developed and improved, the book establishes the foundations for a groundbreaking functional approach to language typology.
An exploration of the implications of developments in artificial intelligence for social scientific research, which builds on the theoretical and methodological insights provided by "Simulating societies".; This book is intended for worldwide library market for social science subjects such as sociology, political science, geography, archaeology/anthropology, and significant appeal within computer science, particularly artificial intelligence. Also personal reference for researchers.
This innovative volume provides a new analytic framework for understanding how meaning-making resources are deployed in images designed for knowledge building in school science. The framework enables analyses of science images from the perspectives of both their complexity and recognizability. Complexity deals with the technical and abstract knowledge of school science (technicality), evaluative dispositions in relation to that knowledge (iconization) and the condensation of the technical and dispositional meanings as ‘synoptic eyefuls’ in discipline-specific infographics (aggregation). Recognizability concerns the relationship between the appearance of phenomena in reality and the recon...
This book examines educational semiotics and the representation of knowledge in school science. It discusses the strategic integration of animation in science education. It explores how learning through the creation of science animations takes place, as well as how animation can be used in assessing student’s science learning. Science education animations are ubiquitous in a variety of different online sites, including perhaps the most popularly accessed YouTube site, and are also routinely included as digital augmentations to science textbooks. They are popular with students and teachers and are a prominent feature of contemporary science teaching. The proliferation of various kinds of sc...
Science has never been more important, yet science education faces serious challenges. At present, science education research only sees half the picture, focusing on how students learn and their changing conceptions. Both teaching practice and what is taught, science knowledge itself, are missing. This book offers new, interdisciplinary ways of thinking about science teaching that foreground the forms taken by science knowledge and the language, imagery and gesture through which they are expressed. This book brings together leading international scholars from Systemic Functional Linguistics, a long-established approach to language, and Legitimation Code Theory, a rapidly growing sociological...
Our understanding of catalytic reactions exists at various levels which are mainly defined from detailed knowledge of reaction mechanism. When viewed in terms of the stoi chiometric reaction equation, most catalytic reactions are complex processes which occur via a sequence of elementary (i. e. irreducible) steps, and the elucidation ofthese elementary steps and the identification of a rate determining step (if one exists) constitutes the traditional approach to the problem of mechanism. The term "traditional" is not used here in a pejorative sense since mechanistic knowledge of this sort makes an important contribution to catalyst design, improvement, and optimization. This is the field whi...
This volume presents the proceedings of the 6th Portuguese Conference on Artificial Intelligence, EPIA '93, organized by the Portuguese Artificial Intelligence Association. Like the last two conferences in this series, it was run as an international event with strict requirements as to the quality of accepted submissions. Fifty-one submissions were receivedfrom 9 countries, the largest numbers coming from Portugal (18), Germany (10), and France (8). The volume contains 25 selected papers, together with 7 poster abstracts and one invited lecture: "Organizations as complex, dynamic design problems" by L. Gasser, I. Hulthage, B. Leverich, J. Lieb, and A. Majchrzak, all from the University of Southern California. The papersare grouped into parts on: distributed artificial intelligence, natural language processing, knowledge representation, logic programming, non-standard logics, automated reasoning, constraints, planning, and learning.