
Aegean Linear Script(s)
Rethinking the Relationship Between Linear A and Linear B
Ester Salgarella(Author)
Cambridge University Press
Published on 1. October 2020
Book
Hardback
436 pages
978-1-108-47938-7 (ISBN)
Description
When does a continuum become a divide? This book investigates the genetic relationship between Linear A and Linear B, two Bronze Age scripts attested on Crete and Mainland Greece and understood to have developed one out of the other. By using an interdisciplinary methodology, this research integrates linguistic, epigraphic, palaeographic and archaeological evidence, and places the writing practice in its sociohistorical setting. By challenging traditional views, this work calls into question widespread assumptions and interpretative schemes on the relationship between these two scripts, and opens up new perspectives on the ideology associated with the retention, adaptation and transmission of a script, and how identity was negotiated at a moment of closer societal interaction between Cretans and Greek-speaking Mainlanders in the Late Bronze Age. By delving deeper into the structure and inner workings of these two writing systems, this book will make us rethink the relationship between Linear A and B.
More details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Illustrations
Worked examples or Exercises
Dimensions
Height: 282 mm
Width: 208 mm
Thickness: 28 mm
Weight
1255 gr
ISBN-13
978-1-108-47938-7 (9781108479387)
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Schweitzer Classification
Other editions
Additional editions

Book
05/2022
Cambridge University Press
€83.30
Shipment within 15-20 days

E-Book
09/2020
Cambridge University Press
€40.49
Available for download
Person
Ester Salgarella is a Junior Research Fellow at St John's College, Cambridge and in the McDonald Institute for Archaeological Research, specialising in Bronze Age Aegean scripts.
Content
1. Introduction and theoretical framework; 2. What does Linear A look like?; 3. What does Linear B look like?; 4. Interpretative models; 5. Overall Conclusions