a discourse analysis through corpus linguistics on the case of popular science book the grand design

Clicks: 298
ID: 144112
2016
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #6 of 35 articles by views in Biological chemistry

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
This study aims to discover the theme of popular physics book, The Grand Design, through corpus linguistics and discourse analysis as well as how the authors of the book describe the field of study which in fact is not their main focus to work on. In this case, the authors are physicists and cosmologists who attempt to use quantum to interpret the history if the universe. There were two terms, quantum and cosmology, which would be examined to gain the number of appearance in the book. A computer-based corpus software, AntConc v 3.4.3w and chi square test were employed to gain the hit numbers and the significant value of the possible different number appeared. This result would answer the question of what the theme of the book is. The procedure of corpus analysis, which raw text is directly analyzed, was used along with collocation and concordance analysis. After the data was gained from collocation and concordance analysis, discourse analysis was applied to obtain the profound findings of how the authors assert their opinion of quantum in the study of the cosmology. This paper resulted that quantum has more hit numbers than cosmology. In addition, it was found that the theory proposed in this book was quite inadequate in a certain circumstance.
Reference Key
uyun2016kajiana Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Rosita Masfirotul Uyun
Journal Biological chemistry
Year 2016
DOI
10.23917/kls.v1i2.3643
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.