Danielle Gauthier

Artist’s Statement About the Work

The RGB Root Matriz Color Plotter transforms personal experiences into color‑coded emotional pathways, making complex feelings, thoughts, and cycles easier to understand—and act on. Using the RGB color model, we reimagine Red, Green, and Blue as a framework for mapping internal states. Each coordinate represents a word with semantic meaning drawn from an original dataset refined with Natural Language Processing (NLP) and color geometry. In practice, the plotter produces a sequence of colors that you can read as a journey, or an interface between inner knowing and outer data. It’s less about the “right answer” and more about the trajectories the sequence invites you to notice and choose next.

My work uses Semantic Color Math not merely as a tool but as correction—mapping sentimental nuance into computational syntax while preserving sacred tensions: unreason, ambiguity, symbolic resonance. A co-expressive system drawing from deep ecology, degrowth, and ancestral epistemologies to confront the colonial inheritance of machine logic. Unlike extractive GPTs, the Oracle creates free-choice maps of symbolic resonance, inviting co-authorship of conclusions. Color becomes a cultivated interface between inner knowing and outer data. Through meditative intimacy with color mathematics, practice becomes sovereign rather than surveillant—an algorithm of self-relationship traversing symptom, symbol, and sacred. The sequence is not the outcome; the trajectories are. Originally an HTML landing, La Matriz plots a menu of 11 sequences to invite choice over immediacy. Updating the abstract (sentiments via NLTK in Python) did not alter the felt integrity because the material (mathematical) components remained consistent. Rather than replicate flawed datasets, the system divines from a folding dataset—between rainbowed symbol and sentiment—to enable learning and unlearning through desired mathematical effects.