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

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Authors: Lee Sharks
Cited by: 21

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 Dependence' and 'Institutional-Prior Foreclosure'.

Fields of Study & Subjects

Personal Information Management and User Behavior Human-Automation Interaction and Safety Team Dynamics and Performance

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
31 May 2026