Research Platform

Open science for emotional technology research

PUBLICATIONS

Publications & Datasets

Research publications, validation studies, and datasets from TEG-Blue.

Validation Study

Published

Detecting Regulatory States in Natural Language

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

Anna Paretas-Artacho · February 2026 · DOI: 10.5281/zenodo.18428907

Key Findings

  • All four regulatory modes successfully detected
  • 33.8% of individuals escalated toward Control/Domination when challenged
  • 22.2% de-escalated toward Connection
  • De-escalators showed 78% higher rates of complexity markers
  • Mode classifications correlated with independent community moral judgments
View on Zenodo →Full Details

All Publications

Working PaperDraft

TEG-Blue: The Emotional Gradient Blueprint — An Integrative Architecture for Emotional Intelligence

Presents the complete theoretical architecture of TEG-Blue, synthesizing polyvagal theory, attachment theory, dual-process cognition, trauma research, and systems thinking into a unified framework with four core components.

Anna Paretas-Artacho2026DOI: 10.5281/zenodo.18499576
PublicationSource Verified

Detecting Regulatory States in Natural Language

A validation study testing whether the Four-Mode Gradient framework can reliably detect emotional regulatory states in natural language, with implications for therapeutic and educational applications.

Anna Paretas-Artacho2026DOI: 10.5281/zenodo.18428907

Datasets

AITA Conflict Narratives Dataset

10,000+ anonymized conflict narratives from Reddit AITA, annotated with regulatory state markers, complexity markers, and community moral judgments.

Status: Available on request for research purposes

How to cite

See the Citations page for full citation formats and guidelines.

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