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Research Platform

Open science publishing for emotional regulation research

TEG-Blue Open Science

Reconnecting cognition with emotional awareness

The open science branch of TEG-Blue — where all research is transparent, all sources are credited, and all claims can be tested.

TEG-Blue maps how emotional awareness connects cognition and feeling — and what happens when it goes offline. The same mechanism operates at every scale: individual, relational, organizational, societal.

Built on 139+ established theories. Open to critique and validation.

Start Here →See Publications
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What you can do here

Understand the framework

TEG-Blue maps emotional awareness — the key variable that connects cognition and feeling. See how the full structure fits together.

Verify the claims

All sources credited. All methods documented. Clear separation between established science, proposed synthesis, and what's open to validation.

Contribute

Open research questions. Pick a lane that matches your expertise: measurement, validation, theoretical review, or AI alignment.

See open questions →

Collaborate

Clear attribution, clear authorship expectations, clear boundaries. Open science as default.

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The research

Featured Study

Empirical Validation of the Four-Mode Gradient Framework

Computational analysis of 10,000+ natural conflict narratives testing whether the four-mode gradient can be reliably detected in unstructured text.

Key Finding

De-escalators showed 78% higher rates of complexity markers than escalators — signs of self-awareness, perspective-taking, and emotional differentiation in natural language.

Narratives analyzed

10,000+

Escalated toward Control/Domination

33.8%

De-escalated toward Connection

22.2%

Read the full study →See methodology

DOI: 10.5281/zenodo.18428907 · Mode classifications correlated with independent community moral judgments.

Contributors

Founder & Lead Researcher

Anna Paretas-Artacho

Developed the TEG-Blue architecture over nearly two years of independent research, drawing on systems thinking, cross-disciplinary reading, and direct observation of human relational patterns.

How TEG-Blue Was Developed

The architecture: Developed through independent research — observing patterns, connecting disciplines, testing against lived experience.

The literature mapping: AI research tools (Claude, ChatGPT Deep Research) helped identify which of 139+ established theories align with each framework. The architecture determined the connections. The AI located the academic literature.

The status: A working hypothesis — open to critique, correction, and deeper validation by human researchers.

About TEG-Blue →Join as a contributor →

Site map

PageRole
Start Here2-minute orientation + choose a lane
System OverviewHow the 4 layers fit together
Four-Mode GradientThe measurement layer (technical anchor)
FrameworksThe 12 explanatory frameworks
PublicationsEvidence, datasets, validation studies
MethodologyHow we conduct and report research
AI SafetyApplications for AI alignment and safety
CollaborateHow to work with us
GlossaryKey terms and definitions
AboutAbout TEG-Blue and the founder

Contact

If you want to collaborate, send a short message with your background, which lane you want to contribute to, and what you would test or critique first.

research@teg-blue.org

The Application

Want to experience what reconnecting cognition with emotional awareness feels like? Try the interactive tools.

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TEG-Blue Open Science · CC BY-NC-SA 4.0