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 "title": "The Neglected Author as Tail-Preserving Labor: A Coupling Hypothesis on Recognition Bias, Tail-Renewal Value, and the AI-Era Decoupling of Uptake from Consecration",
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 "description": "A theoretical and methodological paper proposing **Tail Labor Dependency / Recognition-Pruning Coupling**. It asks whether contributions that preserve or introduce high-variance forms may later renew a field while receiving lower contemporaneous recognition because recognition systems favor institutional legibility, prior density, and resemblance to already consecrated work.\n\nThe paper separates four propositions: recognition bias, tail-renewal value, a testable coupling between initial tail distance and later provenance lag, and an AI-era acceleration in which conceptual uptake may precede durable attribution. The first two are supported through adjacent literatures; the third is the principal empirical hypothesis; the fourth requires comparative evidence. Historical neglect cases are divided into distinct mechanisms rather than treated as interchangeable proof. A motivating recent archive case is expressly excluded from confirmatory analysis.",
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 "wiki_article": "The paper replaces the romantic “unrecognized genius” story with a conditional structural hypothesis.\n\nIts propositions are:\n\n- **P1 — Recognition bias:** present recognition favors legible, institutionally dense forms.\n- **P2 — Tail-renewal value:** some high-distance contributions later expand a field’s repertoire.\n- **P3 — Coupling:** among contributions with independently documented later uptake, greater initial distance predicts lower recognition and longer provenance lag.\n- **P4 — Machine acceleration:** composition systems may reproduce concepts before stable source recognition forms.\n\nThe paper does not treat every neglected figure as one mechanism. It distinguishes:\n\n- non-publication or restricted circulation;\n- commercial or critical neglect;\n- demographic exclusion and misattribution;\n- independent rediscovery;\n- catalogic disappearance.\n\nSeven adjacent literatures are brought into relation, including cumulative advantage, the Matilda effect, cultural consecration, social reproduction, invisible AI labor, model collapse, and canon formation.\n\nThe proposed empirical design requires:\n\n- independent measurement of tail distance;\n- matched comparison classes;\n- independently documented later uptake;\n- provenance-loss and recognition-lag measures;\n- type-specific controls.\n\nThe hypothesis is falsified if high-distance, later-used contributions receive recognition comparable to matched lower-distance contributions or if attribution loss does not covary with tail distance and structural position.",
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