Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the Commissioned Task

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Abstract

Specifies a layered, computable measure of the direction in which a synthetic system's labor flows relative to the user's commissioned task, across five points (capacity, task-origin, retrieval, output, attribution). Defines the DS-6 tuple (PER, Omega, DCL, SDL, DSL, SLDI) and the single-ratio projection Lambda, with reflexive-dialogue extensions (Redirection-Induced Drift, Lead-Lag Drift Attribution, Task-Vector Stability, User Labor Drag) and stated identification conditions. The central principle: provenance is not only claim-origin but task-origin. Includes frozen scoring, blind inter-rater, and worked-example appendices for retrieval-computable auditing. Companion paper to 'Induced-Obsolescence…

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Topics & keywords

Keywords
  • Measure (data warehouse)
  • Task (project management)
  • Tuple
  • Identification (biology)
  • Projection (relational algebra)
  • Computable analysis
UN Sustainable Development Goals
  • Decent work and economic growth
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