The Semantic Lineage Arc
for Collective Contribution in
AI-Mediated Knowledge Systems.
for Collective Contribution in
AI-Mediated Knowledge Systems.
Following When Meaning Moves: Bridging Abstract Wikipedia and Purpose, a ground bridge of thought opened up. What began as a question about scale, consensus, and AI mediation turned into a living research hypothesis, now shared in full.
Based on our Arcs of Intent models, This hypothesis proposes a new arc, Wisdom, a semantic lineage interface between mind-mapped intent and knowledge systems like Abstract Wikipedia.
Based on our Arcs of Intent models, This hypothesis proposes a new arc, Wisdom, a semantic lineage interface between mind-mapped intent and knowledge systems like Abstract Wikipedia.
Opening Insight
People no longer struggle to access knowledge. They struggle to move with it.
There is a growing misunderstanding of truth, value, and purpose.
Modern systems offer experiences of knowledge, not engagement with clarity. As AI becomes the default interface to public information, knowledge is increasingly consumed instead of collaborated with.
Users are surrounded by data, but disconnected from alignment. They are not asked what they know. They are rarely asked what they mean.
Wikimedia has long anchored truth in transparency and collaboration. But with contributor burnout, AI mediation, and the rise of Abstract Wikipedia, a new challenge emerges:
How do we preserve collective meaning when traditional editorial structures no longer scale?
How do we ensure truth evolves with humanity, not apart from it?
The Opportunity
This research introduces Wisdom:
A new, portable semantic arc inside Purpose, a Motion Protocol designed to route clarity from user-aligned intent into systems like Abstract Wikipedia, where knowledge is modular but not yet alive.
Unlike traditional contribution systems based on editorial authority, Wisdom operates as a semantic lineage arc, a continuity bridge between:
- Personal reflection
- Collective resonance
- Systemic contribution
Built from user-generated mind maps, filtered through clarity thresholds, and governed by collective alignment (not permission), Wisdom enables contributors to move intent across systems without losing clarity or momentum.
Research Hypothesis
If we assume mapped intent can be expressed as structured semantic arcs and interfaced with AI mediation tools like Abstract Wikipedia, then collective knowledge can be updated, verified, and sustained through collective coherence instead of consensus models or manual review.
This proposes:
- A new path for intent-to-edit translation
- A model based on semantic convergence, not identity or hierarchy
- A portable clarity layer that can interface with Wikifunctions and Wikidata
Methodology
- Prototype Wisdom Arc as a portable semantic stream from the closed Map Arc on Purpose
- Link with Abstract Wikipedia logic trees to translate intent arcs into modular content updates
- Simulate contribution scenarios using clarity thresholds in place of edit-based permissions
- Analyze semantic drift and language loss across current consensus editorial systems
Expected Impact
This research explores a living upgrade to knowledge contribution, not rooted in isolated authority, thus extending Wikimedia’s mission without replacing it:
- Edits are aligned, not argued
- Truth becomes relational, not binary
- Contributions emerge from collective knowledge
It extends Wikimedia’s mission without replacing it:
- From factual consensus → to felt coherence
- From editorial permission → to semantic motion
- From archived knowledge → to living knowledge
We're proposing a semantic infrastructure for collective memory, in an age where meaning itself is at risk, to renew trust, clarity, and agency without centralized governance or algorithmic gatekeeping.
Real-World Situation
Traditional Wikimedia Use Case
Alice wants to understand climate change.
She searches Wikipedia.
She finds reliable, sourced, community-vetted info.
She reads. She learns. That’s it.
→ Knowledge accessed. Motion not initiated.
Purpose Protocol Use Case
Alice wants to do something about climate change.
She enters Purpose:
- /state — Declares: “I want to reduce my carbon footprint in real life, not just read about it.”
- /map — Sees others who’ve declared similar intent:
- “Trying to build local composting programs”
- “Looking for tech to monitor household usage”
- “Connecting with policy influencers”
- Privately — Shares insights with a product she uses (e.g., a food delivery app):
- “Add an opt-in for lower-emission meals.”
- Purposely — Joins a “carbon minimalism” arc:
- "Purposeful intent maps are instantly surfaced"
- 3 people connect to co-build a toolkit
- Linked thought semantic interfaces on Purpose
- No pitch decks, no waiting
- Just alignment → action
- /build — She spins up a motion node:
- A community tracker for low-carbon swaps. Integrated. Live. Feedback-based.
What just happened?
- Knowledge → Intention
- Intention → Motion
- Motion → Contribution
- Contribution → Systemic Change
No feed. No followers. No ads.
Only small, aligned micro-acts.
Powered by clarity and motion.
If Wikimedia is the library
Purpose is the lab.
If Wikipedia tells you what’s true,
Purpose asks what you’re ready to move.
This hypothesis is under review.
The theory is unfinished.
The architecture is in motion.
The Research Arc is on Purpose.
→ Wisdom in Motion
The theory is unfinished.
The architecture is in motion.
The Research Arc is on Purpose.
→ Wisdom in Motion