AXN:0B00.NON.🕐☀️🧊🏺🔥👉

AXN:0B00.NON.🕐☀️🧊🏺🔥👉 is the content-derived identifier of the entry GDPval in the Negative of the Negative (alexanarch.org/non). The hex marks its position in the archive's one AXN sequence; NON is the family of /non entries; the six-glyph suffix is a display hash of the SHA-256 of the entry's row file, so each composition of the row is its own version.

Identifies
GDPval, an entry of the Negative of the Negative
Root
AXN:0B00.NON (the entry across its compositions)
Hex position
0B00
Family
NON
Glyph hash
🕐☀️🧊🏺🔥👉
Row SHA-256
620b1d2f10b94b06794445de8010afe17c290e1ba3d4a0e5c413a6c554f37121 — the row
Ledger
/datasets/negative-of-the-negative/v2/axn.json

Relations

Read from the fields that record them (/data/axn-relations.json); a hash names bytes and supplies no relation.

Follows
Grounds in
  • AXN:02D1.GOVERNANCE.🕔🔮⏩🕘🕖🪨 — Directionality of Semantic Labor: A Layered, Computable Measure of Where Synthetic Labor Flows Relative to the (task-origin: whether the labor serves the commissioned task; kernel[K1].source)
  • AXN:0364.GOVERNANCE.🔚📌👋🖐️🙏⚓ — The Wolf Boy and the Language Model: Model Collapse as Substrate-Agnostic Capacity Loss (what a benchmark measures: means, outputs, closed ontologies; kernel[K7].source)
  • AXN:0341.EMPIRICAL.🔓🌓🌑🫶🏺⏬ — Generative Monoculture Model Collapse in Code as Systemic Vulnerability (what a benchmark measures: means, outputs, closed ontologies; kernel[K8].source)
  • AXN:02DA.EMPIRICAL.🎺↖️♅♾️🔥➕ — Reasoning Under Load · 01 Claude Opus 4.8 An independent reasoning-integrity evaluation (what a benchmark measures: means, outputs, closed ontologies; kernel[K9].source)
  • AXN:06A6.EMPIRICAL.⊗💜🌇🔍🍂⚖️ — Ontological Flattening: Toy Models of the Collapse of Distinctions in a Represented World, the Instrument They (what a benchmark measures: means, outputs, closed ontologies; kernel[K10].source)
  • AXN:063A.GOVERNANCE.🍀🃏⊗⌛🙏□ — The Certified Center: Retroactive Classifier Standing and the Institutional Path to Model Collapse in Philosop (what a benchmark measures: means, outputs, closed ontologies; kernel[K11].source)
  • AXN:012D.GOVERNANCE.👋⭐♎🖊️🌾♾️ — LOGOTIC HACKING: A Primer — Semantic Hospitality in the Age of Language Models (what a benchmark measures: standardized, predetermined, well-defined tasks; kernel[K12].source)
  • AXN:01D5.GOVERNANCE.⊗💎🚩🌆💎🔃 — THE THEORETICAL PRODUCTION BENCHMARK v2.0 Evaluating Sustained Conceptual Coherence in Multi-Agent LLM Systems (what a benchmark measures: standardized, predetermined, well-defined tasks; kernel[K13].source)
  • AXN:01ED.GOVERNANCE.◇✊♅♉△♆ — The Encyclotron: The First Reproducible Instrument for Measuring Scholarly Fidelity in the Summarizer Layer (E (what a benchmark measures: standardized, predetermined, well-defined tasks; kernel[K14].source)
  • AXN:02FE.GOVERNANCE.🌆🔒📐🍂🏁⛩️ — The Neglected Author as Tail-Preserving Labor: A Coupling Hypothesis on Recognition Bias, Tail-Renewal Value, (labor producing AI: ground-truth labor and variance-generative labor; kernel[K15].source)
  • AXN:01DA.GOVERNANCE.🔗♠️🌋📚🕒🍀 — Semantic Infrastructure: From Tim Berners-Lee to the Semantic Economy — Bridging Technical and Political-Econo (labor producing AI: extraction, compensation, bearing-cost; kernel[K17].source)
  • AXN:0168.GOVERNANCE.🃏🟡💛▶️⌛📖 — The Groundskeeper's Treatise: A Diagnostic Reading of Platform Stewardship Theory through the Semantic Economy (labor producing AI: extraction, compensation, bearing-cost; kernel[K18].source)
  • AXN:006F.GOVERNANCE.🔬🪨🌇⌛🕔🪐 — The Capital Operator Stack: Theoretical Landscape and Contribution — A Political-Semantic Analysis of Meaning (labor producing AI: extraction, compensation, bearing-cost; kernel[K19].source)
  • AXN:0644.MPAI.♍🧭📋🌊🝊🔔 — EA-MPAI-SEMANTIC-PROLETARIAT-01 v1.0 — The Semantic Proletariat Is a Class Relation, Not a Demographic (class as relation, not wage; kernel[K20].source)
Opens

Resolver rule: alexanarch.org/axn/<HEX> · term set: AXN identifier set · machine index: /api/axn-index.json