The Seventh Function Of Language Summary


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The 7th Function of Language


The 7th Function of Language

Author: Laurent Binet

language: en

Publisher: Random House

Release Date: 2017-05-04


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'One of the funniest, most riotously inventive and enjoyable novels you’ll read this year' - Observer Roland Barthes is knocked down in a Paris street by a laundry van. It’s February 1980 and he has just come from lunch with Francois Mitterrand. Barthes dies soon afterwards. History tells us it was an accident. But what if it were an assassination? What if Barthes was carrying a document of unbelievable, global importance? A document explaining the seventh function of language – an idea so powerful it gives whoever masters it the ability to convince anyone, in any situation, to do anything. Police Captain Jacques Bayard and his reluctant accomplice Simon Herzog set off on a chase that takes them from the corridors of power to backstreet saunas and midnight meetings. What they discover is a worldwide conspiracy involving the President, murderous Bulgarians and a secret international debating society.

A Discourse Analysis of Habakkuk


A Discourse Analysis of Habakkuk

Author: David J. Fuller

language: en

Publisher: BRILL

Release Date: 2019-10-21


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Habakkuk is unique amongst the prophetic corpus for its interchange between YHWH and the prophet. Many open research questions exist regarding the identities of the antagonists throughout and the relationships amongst the different sections of the book. In A Discourse Analysis of Habakkuk, David J. Fuller develops a model for discourse analysis of Biblical Hebrew within the framework of Systemic Functional Linguistics. The analytical procedure is carried out on each pericope of the book separately, and then the respective results are compared in order to determine how the successive speeches function as responses to each other, and to better understand changes in the perspectives of the various speakers throughout.

From Data to Decisions in Music Education Research


From Data to Decisions in Music Education Research

Author: Brian C. Wesolowski

language: en

Publisher: Taylor & Francis

Release Date: 2022-02-22


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From Data to Decisions in Music Education Research provides a structured and hands-on approach to working with empirical data in the context of music education research. Using step-by-step tutorials with in-depth examples of music education data, this book draws upon concepts in data science and statistics to provide a comprehensive framework for working with a variety of data and solving data-driven problems. All of the skills presented here use the R programming language, a free, open-source statistical computing and graphics environment. Using R enables readers to refine their computational thinking abilities and data literacy skills while facilitating reproducibility, replication, and transparency of data analysis in the field. The book offers: A clear and comprehensive framework for thinking about data analysis processes in a music education context. An overview of common data structures and data types used in statistical programming and data analytics. Techniques for cleaning, preprocessing, manipulating, aggregating, and mining data in ways that facilitate organization and interpretation. Methods for summarizing and visualizing data to help identify structures, patterns, and trends within data sets. Detailed applications of descriptive, diagnostic, and predictive analytics processes. Step-by-step code for all concepts and analyses. Direct access to all data sets and R script files through the accompanying eResource. From Data to Decisions in Music Education Research offers a reference "cookbook" of code and programming recipes written with the graduate music education student in mind and breaks down data analysis processes and skills in an approachable fashion. It can be used across a wide range of graduate music education courses that rely on the application of empirical data analyses and will be useful to all music education scholars and professionals seeking to enhance their use of quantitative data.