Model Drift

Preprints revealing inconsistencies, weak fits, or unexplained anomalies in dominant models—early signs of conceptual stress within the current framework.

Fuzzy Recurrence Dynamics of Contrast Medium Extravasation in Computed Tomography

Leave a Comment / medRxiv, Model Drift, Normal Science /

URL https://www.medrxiv.org/content/10.1101/2025.03.10.25323651v1.full.pdf Stage Normal Science / Model Drift Paradigm framing Established paradigm of computed tomography (CT) imaging analysis in trauma care. Highlights This preprint resides primarily within the normal science stage of Kuhn’s paradigm cycle. It operates within the established paradigm of CT imaging for trauma assessment but introduces a novel analytical approach (fuzzy recurrence […]

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Stimulant medications affect arousal and reward, not attention

Leave a Comment / bioRxiv, Model Drift /

URL https://www.biorxiv.org/content/10.1101/2025.05.19.654915v2.full.pdf Stage Model Drift Paradigm framing The dominant paradigm is the attention-network model of stimulant action. This model suggests that stimulants primarily improve attention by directly modulating attention networks in the brain. Highlights This preprint challenges the prevailing paradigm by presenting evidence suggesting that the primary effect of stimulants is on arousal and reward

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The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels

Leave a Comment / arXiv, Model Crisis, Model Drift /

URL Stage https://arxiv.org/abs/2405.05860 Model Drift/Model Crisis Paradigm framing The preprint focuses on the paradigm shift in data labeling from the traditional “ground truth” paradigm to the “perspectivist” paradigm, particularly within the field of Natural Language Processing. Highlights The preprint argues for a “perspectivist turn” in machine learning, challenging the established paradigm that treats annotator disagreement

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