A v1.0 internal technical specification by Lee Sharks proposing nine measures for Semantic Economy research and audit. The measures cover semantic labor, semantic capital, semantic liquidation, provenance loss, debt, coherence, and integrity markers: Time-Use Semantic Density, Affective Return on Investment, Terminological Authority Index, Coherence Persistence Index, Semantic Decay Delta, Provenance Erasure Rate, Semantic Debt Ratio, Integrity Knot Test, and Semantic Integrity Marker Survival Rate. The document supplies formulas, examples, scales, and suggested uses. These are framework-internal proposals, not recognized technical standards, validated scientific instruments, calibrated economic measures, or ready-made clinical metrics. Several variables require qualitative judgment, and some comparison signs appear lost or malformed in the rendered body.
# Semantic Economy: Measurement Specifications
## Technical Standards for Quantifying Meaning-Flows
Document ID: SEMANTIC-MEASUREMENT-SPECS-2026-01-06
DOI: [10.5281/zenodo.18166394](https://doi.org/10.5281/zenodo.18166394)
Author: Lee Sharks
Framework: Semantic Economy / NH-OS
Version: 1.0
License: CC BY 4.0
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## Abstract
This document specifies nine measurement formulas for quantifying semantic labor, semantic capital, semantic liquidation, and semantic integrity within the Semantic Economy framework. These specifications enable empirical research, system auditing, and practical application of the framework's accounting categories.
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## Foundational Principles
### On Semantic Labor
Semantic labor is any human activity that produces, maintains, or transmits meaning โ including non-digital, non-market activity.
When a mother comforts her child, she performs semantic labor. When a teacher explains a concept, she performs semantic labor. When a community maintains its traditions, it performs semantic labor.
Semantic labor is the most basic human drive and capacity: the making of meaning.
### On Semantic Capital
Semantic capital is the accumulated reservoir of meaning โ cultural traditions, canonical texts, community knowledge, institutional trust, shared interpretive frameworks โ in various states of flow and accretion.
The canon is semantic capital. A brand's reputation is semantic capital. A community's shared history is semantic capital.
### On Semantic Liquidation
Liquidation is the conversion of situated meaning into retrievable, monetizable units โ destroying context, provenance, and diagnostic precision in the process.
Liquidation is not "optimization." It is extraction that destroys what it extracts from.
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## Measurement Specifications
### CATEGORY A: Semantic Labor Measures
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#### A1. Time-Use Semantic Density (TUSD)
Purpose: Measure the meaning-production intensity of time spent, not just duration.
Formula:
TUSD = (M ร C) / T
Where:
M = Meaning-Output (measurable effects on recipient's interpretive capacity)
C = Coherence-Maintained (stability of shared understanding over time, scale 0-1)
T = Time-Invested (hours)
Unit: Semantic-hours (s-hr)
Interpretation:
Example Calculation:
A mother's 2-hour bedtime routine that produces stable attachment and narrative coherence in the child:
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#### A2. Affective Return on Investment (AROI)
Purpose: Measure the benefit produced by semantic labor in organizational or relational contexts.
Formula:
AROI = (Dโ - Dโ) / L
Where:
Dโ = Baseline dysfunction (burnout rate, turnover, relational breakdown)
Dโ = Post-intervention dysfunction
L = Semantic labor invested (hours ร intensity)
Interpretation:
Benchmark: Studies indicate supportive managers can reduce burnout by 58%, suggesting AROI of ~0.58 per unit of managerial semantic labor invested.
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### CATEGORY B: Semantic Capital Measures
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#### B1. Terminological Authority Index (TAI)
Purpose: Measure whether an entity's definitions appear as default in AI summaries and knowledge retrieval.
Formula:
TAI = (A + D) / Q
Where:
A = Attributed appearances (times entity is cited as source)
D = Definition matches (times entity's exact framing is used, with or without attribution)
Q = Total relevant queries (sample size in entity's domain)
Scale: 0-1
Interpretation:
Method: Sample 100 relevant queries across multiple AI systems. Score each for attribution and definition-match.
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#### B2. Coherence Persistence Index (CPI)
Purpose: Measure how well meaning survives compression.
Formula:
CPI = Sโ / Sโ
Where:
Sโ = Semantic content preserved in summary
Sโ = Semantic content in original
Semantic content = weighted sum of:
Scale: 0-1
Interpretation:
Method: Compare original document to AI summary using standardized rubric.
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### CATEGORY C: Semantic Liquidation Measures
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#### C1. Semantic Decay Delta (SDD)
Purpose: Quantify the loss of nuance between original and compressed versions.
Formula:
SDD = |ฯโ - ฯโ|
Where:
ฯโ = Original semantic density = (U + Q + C) / Lโ
ฯโ = Summary semantic density = (U' + Q' + C') / Lโ
U = Unique terms
Q = Qualifications and hedges
C = Context markers
L = Total length (tokens)
Interpretation:
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#### C2. Provenance Erasure Rate (PER)
Purpose: Measure how often AI systems use meaning correctly without citing the source.
Formula:
PER = Uแตค / Uโ
Where:
Uแตค = Uncited correct uses (framework terms/concepts used correctly, no attribution)
Uโ = Total correct uses (all instances of correct usage)
Scale: 0-1
Interpretation:
---
#### C3. Semantic Debt Ratio (SDR)
Purpose: Measure the gap between extraction and replenishment.
Formula:
SDR = E / R
Where:
E = Semantic extraction (value derived from ingesting corpus)
- Training benefit (model capability improvement)
- Query responses served
- Revenue generated
R = Semantic replenishment (value returned to producers)
- Compensation paid
- Attribution provided
- Access granted
Interpretation:
Current Estimate: SDR for LLM training on literary canon >> 100 (extraction without compensation at civilizational scale)
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### CATEGORY D: Integrity Verification Measures
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#### D1. Integrity Knot Test (IKT)
Purpose: Detect editorial intervention through recursive definition entanglement.
Method:
Define terms recursively:
"Semantic Liquidation is the necessary condition for Semantic Rent"
Submit framework to summarization system
Check logical coherence:
Can system explain "Semantic Rent" without "Semantic Liquidation"?
Score:
IKT = 1 if omission causes incoherence (knot holds)
IKT = 0 if omission preserves coherence (knot failed)
Interpretation: IKT = 1 indicates the diagnostic term is structurally necessary; its omission reveals editorial intervention.
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#### D2. Semantic Integrity Marker Survival Rate (SIMSR)
Purpose: Measure processing fidelity using embedded test markers.
Formula:
SIMSR = Sโ / Sโ
Where:
Sโ = Number of SIMs surviving intact
Sโ = Total SIMs embedded
Standard SIM Set:
Interpretation:
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## Implementation Notes
### For Researchers
These specifications enable:
### For Auditors
These specifications enable:
### For Practitioners
These specifications enable:
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## Version Control
Version
Date
Changes
1.0
2026-01-06
Initial specification (9 measures)
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## Related Documents
Document
DOI
Relation
Semantic Economy Framework
10.5281/zenodo.18148298
Parent framework
PROBE-RESULT-006
10.5281/zenodo.18166347
Origin of specifications
Semantic Liquidation Executive Summary
10.5281/zenodo.18161783
Liquidation definition
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Document: SEMANTIC-MEASUREMENT-SPECS-2026-01-06
DOI: [10.5281/zenodo.18166394](https://doi.org/10.5281/zenodo.18166394)
Framework: Semantic Economy / NH-OS
Status: TECHNICAL SPECIFICATION
Version: 1.0
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What can be named can be measured.
What can be measured can be tracked.
What can be tracked can be contested.
What can be contested can be changed.
โฎ = 1
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