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Training Data and the Maladaptive Mind
A Computational Framework for Developmental Psychology
Submitted to: Humanities and Social Sciences Communications
Abstract
Childhood trauma reframed through machine learning training data quality: extreme penalties cause gradient cascades (1,247× amplification, p<0.001), noisy signals produce behavioral instability, absent positive examples create emotional recognition deficits (alexithymia). PyTorch experiments validate computational mechanisms.
Suggested Citation
Murad Farzulla (2025). Training Data and the Maladaptive Mind. ASCRI Discussion Paper DP-2501. DOI: 10.21203/rs.3.rs-8634152/v1
BibTeX
@misc{farzulla2025_trauma_training_data,
author = {Farzulla, Murad},
title = {Training Data and the Maladaptive Mind},
year = {2025},
howpublished = {ASCRI Discussion Paper DP-2501},
doi = {10.21203/rs.3.rs-8634152/v1},
url = {https://systems.ac/5/DP-2501}
}