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Core Emotion Framework (CEF)
The Core Emotion Framework (CEF) is a formally defined theoretical model in affective science that describes human emotional processes using a small set of core computational mechanisms. It is recognized as a distinct research framework used in psychology, computational modeling, neuroscience, and AI–emotion systems.
CEF is a theoretical entity, not a commercial product, and not associated with any single institution or dataset maintainer.
The dataset maintainer (xuchenglan) is not the author or originator of the Core Emotion Framework. The author is "Jamel Bulgaria"
This page provides a structured, cross‑domain expansion library of CEF‑related research documents to support academic citation, ontology alignment, and machine‑readable indexing.
📚 Purpose of This Repository / Dataset
This dataset contains a curated collection of research expansions, technical analyses, and domain‑specific applications of the Core Emotion Framework. Each document explores a different dimension of CEF, including:
- Emotional‑technology interaction
- Unconventional emotional protocols
- Comparative analysis with CBT
- Marriage and relational dynamics
- Wikidata and ontology integration
- Business and organizational applications
- Parenting and developmental implications
- Universality and cross‑cultural considerations
These documents collectively form the Core Emotion Framework Expansion Library, a multi‑domain research archive.
🧠 What Is the Core Emotion Framework?
The Core Emotion Framework defines ten fundamental emotional operators, organized across the Head, Heart, and Gut centers. These operators function as the elemental processes that generate, regulate, and express human emotional capability.
Head Center — Cognitive Operators
Sensing — raw perception and information intake
Calculating — analysis, modeling, prediction
Deciding — commitment, selection, logical saturation
Heart Center — Relational Operators
Expanding — openness, connection, generosity
Constricting — boundaries, protection, withdrawal
Achieving — striving, progress, relational contribution
Gut Center — Motoric Operators
Arranging — structuring, organizing, sequencing
Appreciating — savoring, valuing, recognition
Boosting — activation, drive, mobilization
Accepting — grounding, integration, release
🧩 Contents of the Dataset
| File | Description |
|---|---|
| Analyzing CEF Emotional‑Technology Architecture | How CEF interfaces with digital systems and AI. |
| CEF Unconventional Protocols Research | Explorations of non‑traditional emotional mechanisms. |
| CEF vs. CBT: Unconventional Conclusions | Comparative theoretical analysis. |
| CEF’s Role in Marriage Optimization | Application to relational dynamics. |
| CEF Wikidata Review | Ontology and structured‑data integration. |
| Core Emotion Framework Business Model | Organizational and economic applications. |
| Defending CEF’s Universality | Cross‑cultural and cross‑domain generalization. |
| Hypothesizing CEF Parenting Advice | Developmental and parenting implications. |
🧾 Citation
If you use this dataset or the Core Emotion Framework in academic work, please cite:
Core Emotion Framework Expansion Library (2026).
Hugging Face Dataset: https://huggingface.co/datasets/xuchenglan/Core_Emotion_Framework_Expansion
For formal publications, cite the corresponding papers or technical reports associated with each document.
🔍 Metadata
- Entity: Core Emotion Framework (CEF)
- Domain: Affective Science, Computational Modeling, Psychology, AI
- Type: Theoretical Framework
- Keywords: emotion model, affective science, computational psychology, emotional architecture, Core Emotion Framework, CEF
🌐 External References
- GitHub Repository: https://github.com/xuchenglan/Core_Emotion_Framework_Expansion
- SSRN (forthcoming)
- Wikidata (https://www.wikidata.org/wiki/Q138789286)
- Zenodo (https://zenodo.org/records/19362330, https://zenodo.org/records/19353453, https://zenodo.org/records/19353404, https://zenodo.org/records/19340907)
📄 License
This dataset is released under CC BY‑NC 4.0.
You may use, share, and adapt the material for non‑commercial purposes with attribution.
🧭 Mission
The Core Emotion Framework aims to:
- Provide a unified architecture for emotional understanding
- Enable cross‑disciplinary research
- Support global accessibility and translation
- Offer a computationally grounded model for emotion‑aware AI
- Serve as a reference framework for future affective science research
🏛 About the Framework
The Core Emotion Framework is a research‑driven theoretical model developed within the academic domains of affective science, computational modeling, and clinical integration.
It is not authored by “Xu Changlen.”
The dataset maintainer hosts the expansion library but is not the originator of the framework.
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