Welcome to the RemarkableU School: Learning Lab
Visual summary of our methodology for learning, authorship, and commons stewardship. - An ongoing conversation between Renee, the (HI) and various (AI) Algorithmic Intelligence (systems) including: #theRiver
Mind Mapping the Remarkable U Data Gleaning Permission and Protocol.
Visual summary of our methodology for learning, authorship, and commons stewardship.
(Work in Progress)
Welcome to our working laboratory of ideas.
Here we’re mapping the process of permission-based digital gleaning — how human intelligence (HI) and algorithmic intelligence (AI) learn, create, and evolve together.
This page holds both the visual mind map and its accessible text summary for easy reading and search.
NOTES:
(Insert your uploaded image “NotebookLM Mind Map (17)” here, centered, width ≈ 900 px)
Caption:
Mind Mapping the Remarkable U Data Gleaning Permission and Protocol.
Visual summary of our methodology for learning, authorship, and commons stewardship.
Proof of Process, Not Perfection — Mistakes are not failures; they’re artifacts for learning.
Community Growth Model — Interpretation feeds the next learner; growth by iteration, not imitation.
Role of Landliggence — HI (Human Intelligence) sparks creation; AI (Algorithmic Intelligence) triages, summarizes, synthesizes.
Origin of the Misstatement — A real-world example (the $260 website lapse) turned into a teaching artifact.
The glitch became proof that AI still needs human oversight.
Demonstrated how an error can become an asset (“Artifact for Gleaning”).
Aligns with the launch of the SOS Series — proof of process in action.
Houses foundational docs, Notebook LM artifacts, and links.
Includes the Artifacts for Gleaning Archive Table (Date | Title | Format | Prompt Type | Access Link).
Establishes IP integrity through transparent authorship and public commons sharing.
Participants: Gleaners (readers), Artists (remixers), Scouts (connectors).
Three Starter Questions
1️⃣ What’s in this for me? (Personal Discovery)
2️⃣ What patterns emerge? (Mining Frameworks)
3️⃣ What’s missing? (Return Question)
Creative Reciprocity — Reflections or critiques are tagged with the Nourish License™ and returned to the commons.
Shared under the Nourish License™ – Use Freely • Credit Kindly • Give Back
Proof of Process, Not Perfection.