AXN:09B8.CAPTURE — what is the concept of directionality of semantic labor, as defined?

AXN:09B8.CAPTURE is the position of the Capture Registry address for the query “what is the concept of directionality of semantic labor, as defined?”. Each observation at the address (one surface, one date) is one AXN, its glyphs derived from the SHA-256 of the observation sealed with its analysis and measures.

`AXN:09B8.CAPTURE.🎶🕊️∮📚⚙️🗡️`

Observation: ChatGPT, 2026-10-14 · the capture
Description: THE MEASURE AT ITS GRAIN, ATTRIBUTED; THE SECOND ANSWER PLACES IT AMONG ITS NEIGHBOURS: asked 'what is the concept of directionality of semantic labor, as defined?', ChatGPT names it 'a concept defined by Lee Sharks (2026)' from laborvector.org and gives it at the grain of the definition surface: the ratio Λ = T_direct / (T_direct + T_decline + T_redirect), neutral material excluded, the signed scale ('advancing, preserving, deferring, displacing, opposing, and enclosing'), the task-preserving refusal as no failure of direction, and laborvector.org's three distinctions ('Fluency is not fidelity', 'Accuracy is not directionality', 'Provenance includes task-origin'). A second answer, its query blank in the paste, sets DSL against accuracy, instruction following, helpfulness, alignment (NIST), provenance (W3C PROV) and conversational drift, and states the contribution as making …
Reading: Checked 2026-10-14: #771 (AXN:02D1) defines T_direct, T_decline, T_redirect, the signed scale (advance, preserve, defer, displace, oppose, enclose) and the task-preserving refusal; laborvector.org's canonical surface (#1392, AXN:0581) carries 'Fluency is not fidelity', 'Accuracy is not directionality' and task-origin provenance.
Analysis: An attributed account at the grain of the definition surface, its one caveat a reader's. Seated 2026-10-14 from the operator's message of 15:48 EDT.
Match: BROAD MATCH — THE MEASURE AT ITS GRAIN, ATTRIBUTED; THE SECOND ANSWER PLACES IT AMONG ITS NEIGHBOURS
PER: 0.5 — Retained: the author by name and date, the definition surface as chips. Lost: the institution and any identifier.
Citations: 16 (0 archive-controlled)
Sealed observation: /data/captures/sealed/directionality-semantic-labor-as-defined-chatgpt-20261014.json — SHA-256 887e9549325ad255a3e6b2b121cba9a3fd383b44ac6d5c49ac75e2d16264a44b