Doctor Doom In The Marvel Age: Data

This is data collected as part of the PhD thesis 'Doctor Doom In The Marvel Age: An Empirical Approach To Transmedia Character Coherence'. 266 Texts were identified in which Doctor Doom appeared, taken from comics dated November 1961 to October 1987 - 'The Marvel Age' - and from other media texts issued contemporaneously.From this corpus, a sample of 69 texts was selected using stratified random sampling.Each text in the sample was examined for signifiers to do with Doctor Doom. The data was recorded using a unified catalogue of transmedia character components which brings together aspects of the models devised by Pearson and Uricchio, Klastrup and Tosca, Marie-Laurie Ryan, Paolo Bertetti and Matthew Freeman within a framework based on Jan-Noël Thon's ideas of Transmedia Character Networks that extends Henry Jenkin's formulation of 'transmedia' in line with Scolari, Bertetti and Freeman's Transmedia Archaeology. Where gaps were identified within these definitions, specifically around the area of 'behaviour', additional definitions were brought in using the psycholexical approach, the Big Five Index, and the idea of character motivations from creative writing practice. Where necessary the components were re-named for clarity, and finally were placed into groups based on Matthew Freeman's classification of transmedia, with 'behaviour' extracted into a group of its own. In theory this catalogue can be used as a tool for mapping the coherence of transmedia characters as they move across time and media. Used over the course of a sample of texts, and by recording the signifiers within each component for each text, it should be possible not only to identify a character's core components across time, but also to see whether they vary across different media or storyworlds. This idea is investigated within the thesis itself.<br>本数据集取材于博士论文《漫威时代的末日博士：跨媒介角色连贯性的实证研究》（Doctor Doom In The Marvel Age: An Empirical Approach To Transmedia Character Coherence）。研究团队共筛选出266篇包含末日博士登场的文本，其来源涵盖1961年11月至1987年10月期间的漫画作品——即"漫威时代"——以及同期发行的其他跨媒介（Transmedia）文本。从该语料库中，研究人员采用分层随机抽样法选取了69篇文本作为样本。对样本中的每一篇文本，均针对与末日博士相关的符号指涉物开展分析。本数据集依托统一的跨媒介角色要素目录进行记录：该目录整合了Pearson与Uricchio、Klastrup与Tosca、Marie-Laurie Ryan、Paolo Bertetti及Matthew Freeman提出的模型框架，基于Jan-Noël Thon的跨媒介角色网络（Transmedia Character Networks）理论构建，并结合Scolari、Bertetti与Freeman的跨媒介考古学（Transmedia Archaeology）对Henry Jenkin提出的"跨媒介"概念进行拓展。当现有定义存在缺口时——尤其是在"行为"维度——研究引入了心理词汇学方法、大五人格量表（Big Five Index）以及创意写作实践中的角色动机理论作为补充。为提升表述清晰度，部分要素被重新命名，最终依据Matthew Freeman的跨媒介分类体系进行分组，其中"行为"被单独划为一类。理论上，该目录可作为工具，用于追踪角色随时间与媒介变迁时的连贯性。通过对样本文本展开分析，并记录每篇文本中各要素对应的符号指涉物，不仅能够识别角色在不同时间维度下的核心要素，还可探究其在不同媒介或故事世界中是否存在差异。这一研究设想已在该博士论文中得到实证检验。