Mapping a Research Corpus as an Instrument: A Traceable Corpus Bibliography, Semantic Atlas, and Argument-Map Meta-Analysis
Description
This research object converts a corpus of 133 papers into a traceable semantic atlas and argument network, enabling inspection, navigation, and extension of the corpus as a structured analytical instrument.
Abstract
Abstract
This article introduces a traceable corpus-level analytical instrument that converts a collection of research papers into a structured, inspectable, and extensible semantic atlas. Using the CBSA-AMM (Corpus Bibliography + Semantic Atlas + Argument-Map Meta) method, a corpus of 133 Zenodo-archived research objects was transformed into linked registers capturing bibliographic structure, semantic similarity, citation relationships, and argument-level claims. The output is not merely a bibliography but a navigable knowledge structure: papers become nodes in a semantic and argumentative network whose topology can be examined, replicated, and extended. The instrument reveals distinct thematic clusters—including statistical methods, project valuation, mining exploration, institutional governance, and failure analysis—and shows how these themes interconnect over time. The resulting research object functions as both a map of the corpus and a tool for future investigation, enabling traceable verification, extension, and reuse.
Keywords: stock promotion; junior mining; semantic coding; mechanism coding; content analysis; traceability; audit trail; financial history.
JEL Codes: C81, C88, D85, D83.