Gradient Descent Framework: Trauma as Adversarial Training Conditions—Machine Learning Models for Developmental Psychology
Abstract
Childhood trauma reframed through machine learning training data quality: extreme penalties cause gradient cascades, noisy signals produce behavioral instability, absent positive examples create emotional recognition deficits, and limited datasets (nuclear families) cause overfitting to parental dysfunction. PyTorch experiments validate computational mechanisms.
Fields of Study & Subjects
Domain Adaptation and Few-Shot Learning
Child Abuse and Trauma
Face recognition and analysis
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 January 2026
- Language
- EN
- Document type
- Preprint