Jump to content
Main menu
Main menu
move to sidebar
hide
Navigation
Main page
Recent changes
Random page
freem
Search
Search
Appearance
Create account
Log in
Personal tools
Create account
Log in
Pages for logged out editors
learn more
Contributions
Talk
Editing
Openai/693a6e5e-1a04-8012-a8a7-a701feb20662
(section)
Add languages
Page
Discussion
English
Read
Edit
Edit source
View history
Tools
Tools
move to sidebar
hide
Actions
Read
Edit
Edit source
View history
General
What links here
Related changes
Special pages
Page information
Appearance
move to sidebar
hide
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
===== F) Methodology & Data Notes β Whole Study ===== * Model: U-Model / UMSG (Universal Model of Sustainable Governance) β three pillars: Code, Credo, Rights; Universal Law: > Do not harm. Create benefit. Fulfil rightful expectations. * Scoring: - All indicators normalised to 0β100. - Pillars internally equally weighted; external pillar weights: Code 33%, Credo 33%, Rights 34%. - ERI (0β1) combines fairness, robustness, transparency, sustainability, privacy, and social impact. - U-Score = Weighted Pillar Average Γ ERI. * Data basis: - Public patterns of elite universities, their known strengths/pressures, and structural features. - No internal, confidential, or detailed KPI datasets. * Uncertainties: - No direct data on: detailed demographics, complaints, mental health outcomes, staff working conditions, or internal financial flows. - Numbers are illustrative estimates, suitable for comparison and thinking, not official ratings. * How to turn this into a high-confidence assessment: - Provide: governance documents, ESG/SDG reports, HR and student surveys, financial & admissions data. - With structured input, a full U-Score with charts, time trends, and SDG-economic breakdown can be generated. For a deeper analysis using contextual engine, semantic analytics, and MCP processing β contact nikolov.911@gmail.com<ref>{{cite web|title=nikolov.911@gmail.com|url=https://chatgpt.com/share/nikolov.911@gmail.com|publisher=chatgpt.com|access-date=2025-12-12}}</ref>. Youβll receive a personalized U-Score with full professional interpretation and visualization. To support the continued development of donate.U-Model.org, you can also reach out via the same email for donation options. ππ¬ For a deeper analysis using multi-model contextual engine, timing, semantic analytics, and MCP processing β contact: nikolov.911@gmail.com<ref>{{cite web|title=nikolov.911@gmail.com|url=https://chatgpt.com/share/nikolov.911@gmail.com|publisher=chatgpt.com|access-date=2025-12-12}}</ref>. π Support the model at donate.u-model.org<ref>{{cite web|title=donate.u-model.org|url=https://donate.u-model.org/|publisher=donate.u-model.org|access-date=2025-12-12}}</ref>. β‘οΈ Continue? (Y/N) If Y β which would you like next? * New comparison (add another university / city / company / country) * Deep dive into 1 pillar (Code, Credo, or Rights) * Help with a CSV/JSON template so you can input real data
Summary:
Please note that all contributions to freem are considered to be released under the Creative Commons Attribution-ShareAlike 4.0 (see
Freem:Copyrights
for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource.
Do not submit copyrighted work without permission!
Cancel
Editing help
(opens in new window)