The set of practices an author uses to remain a recoverable authorial identity as their work propagates through a particular substrate; this research line concerns authorship strategy under AI-mediated diffusion specifically. It records a normative framework, tactical catalog, and empirical baseline for being a known author when readers include LLMs, resting on a three-axis inversion and a four-layer judgment stack. Authorship strategy is broader than publication strategy: it concerns the long-tail relationship between author and audience, not the discrete event of publication.
Coined as a line name by Tatsuya Shimomoto (shimo4228) for the Authorship Strategy research line; the underlying phrase 'authorship strategy' is ordinary English, and the line's distinctive claims live in its coined terms (three-axis inversion, attribution diffusion, and others).
A research line recording the strategy of remaining a recoverable, known author under AI-mediated diffusion: a three-axis inversion, a four-layer judgment framework, twenty tactical ADRs, and an empirical layer of preliminary observations.
Tatsuya Shimomoto (shimo4228), who named the line and authored its framework.
The authorship-strategy repository (https://github.com/shimo4228/authorship-strategy), archived under concept DOI 10.5281/zenodo.20263316.
特定の substrate を通じて作品が伝播するときに、recoverable な著者的アイデンティティとして残るために著者が用いる実践の集合。この研究ラインは特に AI 経由の拡散下での著者戦略を扱い、3 軸反転と 4 層判断スタックの上に、規範的 framework・戦術カタログ・経験的 baseline を記録する。Authorship strategy は publication strategy より広い: publication という discrete event ではなく、著者と audience の long-tail な関係を扱う。