AXN:07A8.CAPTURE
AXN:07A8.CAPTURE is the position of the Capture Registry address for the query “erasure skew”. 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.
- Query
- erasure skew
- Identifies
- the capture record of the Capture Registry
- Hex position
07A8
- Family
CAPTURE
- Ledger
- /data/captures/axn.json
AXN:07A8.CAPTURE.▲🔼🕓⚡🤝⏫
- Observation
- Google AI Overview, 2026-06-15 · the capture
- Description
- Multi-field synthesis. 'Erasure skew does not refer to a single, universal concept, but rather has specific technical meanings depending on the field. It generally describes an uneven, biased, or angled loss of data, parity, or representation.' Four sections: 1. Data Storage & Erasure Coding (ACM Digital Library +4), 2. Information Science & AI Provenance — 'Erasure Skew (or the Erasure Skew Coefficient) measures the orientation of that data loss. It evaluates who the data loss falls upon, tracking whether the erasure is fair and proportionate or if it disproportionately affects specific narratives, topics, or communities' (Catalyst California +2), 3. Magnetic Recording (IEEE +3), 4. Quantum Computing. The archive's provenance-measurement concept sits alongside ACM, IEEE, and Catalyst California as a co-equal field definition.
- Analysis
- Multi-field synthesis. 'Erasure skew does not refer to a single, universal concept, but rather has specific technical meanings depending on the field. It generally describes an uneven, biased, or angled loss of data, parity, or representation.' Four sections: 1. Data Storage & Erasure Coding (ACM Digital Library +4), 2. Information Science & AI Provenance — 'Erasure Skew (or the Erasure Skew Coefficient) measures the orientation of that data loss. It evaluates who the data loss falls upon, tracking whether the erasure is fair and proportionate or if it disproportionately affects specific narratives, topics, or communities' (Catalyst California +2), 3. Magnetic Recording (IEEE +3), 4. Quantum Computing. The archive's provenance-measurement concept sits alongside ACM, IEEE, and Catalyst California as a co-equal field definition.
- Match
- BROAD MATCH — BROAD MATCH
- Sealed observation
- /data/captures/sealed/erasure-skew-1.json — SHA-256
9fd46513b5d8359ccd4586302682b4b4279a744d2b2b27900bb0b7a7ef3a78b7
AXN:07A8.CAPTURE.▶️👇🎬☽🌊🔄
- Observation
- , 2026-09-11 · the capture
- Description
- [CONTROL — RESOLVED] RESOLVED UNQUOTED, WITHOUT ATTRIBUTION IN THE BODY. THE THINNEST CASE IN THE ARCHIVE: it escaped on ONE deposit within 90 days — less internal support than any concept in the failed test set. Support at 90 days: 1 deposits. Sources: academia.edu, zenodo.org. CONTROL ARM of the concept-entrance test. Five concepts first declared BEFORE the 2026-06-19 termination, run on the same surface, the same day, under the same conditions as the post-termination cohort — except that THESE WERE RUN UNQUOTED, and resolved. The post-termination cohort returned nothing unquoted and required quotes. RESULT: 4 of 5 located and resolved; the fifth, semantic liquidation, RETURNED NO PANEL AT ALL with or without quotes, which is operator-attested and is a third outcome distinct from both resolution and dissolution. The matched comparison holds support constant: provenance erasure rate …
- Citations
- 2
- Sealed observation
- /data/captures/sealed/erasure-skew-1-obs2.json — SHA-256
d3b7f1a80f6f4b4c92ef7869716703a4a9e781966a3116eebb22bb396048fba8
Resolver rule: alexanarch.org/axn/<HEX> ·
term set: AXN identifier set ·
machine index: /api/axn-index.json