NextGen Meets OldGen: Encoding an Eighteenth-Century Metadata Project

Autor: Davis, Leith, Takeda, Joey, Bojakli, Jasmyn, Breckles, Taylor, Bridgman, Alyssa, MacInnis, Kaitlyn
Jazyk: angličtina
Rok vydání: 2021
Předmět:
DOI: 10.5281/zenodo.6328571
Popis: This poster, stemming from the "Networking Jacobites" project at Simon Fraser University, reports on the challenges faced and theoretical perspectives gained in our attempts at describing an 18th-century Jacobite manuscript, “The Lyon in Mourning.” Compiled by Jacobite Episcopalian minister Robert Forbes after the suppression of the 1745 Jacobite Rising, “The Lyon in Mourning'' consists of 2148 pages of transcribed conversations, narrative accounts, poems, songs, letters, epitaphs, and even material relics such as scraps of fabric and pieces of a boat. It is an extraordinary document in Scottish history, compiled to preserve the memories of those on the losing side of the Jacobite conflict at a time when Jacobites were subject to legal proscription including capital punishment. It is also a remarkable document in the history of text encoding: not only do the ten-volumes serve as an early "hypertext" with various cross-references and footnotes throughout the collection, but Forbes' meticulously compiled manuscript also seems to anticipate the methodological protocols of the TEI, featuring careful documentation on the biographical, bibliographical, and presentational metadata about his source material. Our poster will discuss how the project has approached encoding Forbes' 10-volume manuscript and the difficulties that we have faced during the first phase of the project, which has focused on compiling metadata for each item. This metadata on the people, places, and places found in the pages of Forbes' manuscript—encoded using elements drawn from the "msdescription" and "corpus" modules of the TEI—will allow our project to derive new evidence about the extent and nature of Jacobite activity in post-1745 Scotland, despite government attempts to suppress the Jacobite cause. However, as we discuss, using TEI to analyze the work of someone who has already done his own work of encoding becomes a difficult task in itself. How do we encode the encoding? 
Databáze: OpenAIRE