A proposed 0–100 composite across six HEXAD dimensions — an attempt to make cognitive sovereignty trackable, assembled from established psychological scales.
Status — proposed framework, not a validated instrument.
The component measures it draws on (ASRS, the Sustained Attention to Response Task, the Cognitive Reflection Test, Need for Cognition, the Emotion Regulation Questionnaire, and others) are established, validated scales. But this composite — the 40/40/20 input weighting, the equal one-sixth dimension weighting, the 0–100 aggregation, and the tier cut-offs (Captured / Compromised / Functional / Sovereign) — has not been psychometrically validated or normed on a population. Treat a score as structured self-reflection, not a clinical or diagnostic measure.
The Question This Framework Answers
How do you measure cognitive sovereignty?
The Composite Score
0–100
Six dimensions. Three input types per dimension. One composite number.
CSI = ⅙(A + P + R + E + S + Ep) — equal-weighted across all six dimensions
Interactive Self-Assessment
Adjust each dimension to see your composite CSI score. This is illustrative — a real assessment uses validated instruments.
CSI Score
65
Functional
The Six Dimensions Scored
Each dimension contributes one-sixth of the composite. Each has its own 0–100 sub-score reported alongside the composite.
I
Attentional Sovereignty
Can you direct and sustain attention on self-chosen tasks against competing stimuli?
40% Self-report: ASRS + attentional control items
40% Behavioral: Sustained Attention to Response Task
40% Behavioral: belief revision under social pressure
20% Environmental: filter bubble score, social proof exposure
Interpretation Scale
What your composite score means. Sub-scores reveal which dimensions need attention.
CSI Score Tiers
80–100Sovereign — self-directed
60–79Functional — aware, mostly intact
40–59Compromised — partial capture
0–39Captured — external control dominant
Three Input Types
Each dimension measured through three channels, preventing single-source gaming.
Input Type
Weight
What It Measures
Why It Matters
Self-Report
40%
Validated psychometric instruments
Subjective experience — how the person experiences their own sovereignty
Behavioral Tasks
40%
Performance on standardized cognitive tasks
Objective capacity — what the person can actually do, regardless of self-perception
Environmental
20%
Objective conditions: screen time, notifications, sleep
Context — the capture environment the person operates within
Deployment Use Cases
Three levels of application. Each serves a different function.
👤
Individual Assessment
Self-assessment providing scored summary of current sovereignty status across six dimensions. Identifies primary degradation domains. Connects to relevant recovery practices.
📊
Population Research
Research instrument enabling comparisons across groups, platforms, interventions, and time periods. Requires standardized administration and population norms. Policy-relevant.
⚖️
Regulatory Standard
Proposed standard for platform accountability. If a platform’s users show systematic CSI decline, that pattern would be a measurable signal that the platform’s design may be contributing to cognitive harm.
Known Limitations
Averaging artifacts: Extreme degradation in one dimension with high function in others can produce moderate composite score. Mitigated by reporting dimension sub-scores alongside composite.
Goodhart’s Law: If CSI becomes a target, gaming incentives exist. Manageable with third-party administration and distinct input mechanisms.
Equal weighting: Not theoretically justified — different weighting schemes produce different scores. Weights are transparent; alternative weightings can be applied.
Connections to Other Frameworks
→ Dimensional Map
The six dimensions the CSI scores. What they are, how they relate, how they degrade.
→ Periodic Table
States have sovereignty profiles. Flow = high CSI. Scroll = low CSI. The table predicts the score.
→ Entropy
High entropy correlates with low CSI. Entropy measures disorder; CSI measures sovereignty. Inverse relationship.
→ Hardness
CSI is the composite; hardness is the resistance dimension. High hardness is one contributor to high CSI.