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August 19, 2026Open Access

Generativity Exploitation: A Baseline-Relative Capability Framework

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WHWanhong HUANG

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Overview

Theoretical analysis reveals how control over realization conditions forecloses generative capabilities despite non-depletion, providing a baseline-relative diagnostic for exploitation.

Key Points

  • To establish a baseline-relative capability framework that diagnoses exploitation when an actor's generative realization conditions are foreclosed despite their full retention of non-rival knowledge and capacities.
  • Synthesized non-rivalry theory, relational autonomy, and epistemic standing across production-centered, domination-centered, and structural models of exploitation.
  • Constructed a formal capability object defined as a reachable viable repertoire parameterized by domain, history, horizon, resolution, action set, and structural arrangement.
  • Evaluated the diagnostic criteria using conditional mathematical propositions and countermodels separating causal and constitutive benefit-through witnesses.
  • Proved repertoire inclusion under policy expansion, preserved transition probabilities, and expanded viability within the formal capability object.
  • Demonstrated via countermodels that latent generativity can remain constant while effective capability contracts, and equal output can coexist with degraded participant autonomy.
  • Established a three-valued diagnostic profile retaining admitted, excluded, and unresolved baselines rather than imposing a binary exploitation verdict.

Cite This Study

Wanhong HUANG (2026) studied this question.

synapsesocial.com/papers/6a8563fe03308d306e2d777dhttps://doi.org/10.17613/eb06j-mzx46
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Generativity Exploitation: A Baseline-Relative Capability Framework2026
  2. 2Means of Generative Expansion: Control, Distribution, and Accumulation of Realization Conditions2026
  3. 3Generativity Exploitation Propagation: A Conditional Network Model of Cascades and Buffers2026
  4. 4Latent Generativity and Counterfactual Capability: An Identification Framework for Finite Traces2026
  5. 5AI-Mediated Generative Relations: Contribution, Control, Capability, and Benefit2026