Objective Projection v7.1: Narrative Engineering Corpus targeting Summarization Bias

Hello everyone,

I am pleased to announce the v7.1 update of the Objective Projection Dataset , a narrative engineering corpus based on the Bulut Doctrine. This dataset encodes emotional states through six measurable physical parameters (Luminous Decay, Thermal Gradient, Acoustic Impedance, Kinetic Momentum, Atmospheric Pressure, Spatial Geometry) to target the subcortical Low Road pathway.

What’s new in v7.1: The Battle Against Summarization Bias

One of the most persistent challenges in narrative AI is “Summarization Bias”—the model’s tendency to strip “extraneous” details to increase signal-to-noise ratio. In Objective Projection, those “extraneous” details are often the primary drivers of biophysical impact.

Hard Negatives Batch 1: Added 10 complex “Hard Negative” pairs (TR+EN) targeting subtle failure modes like implicit emotion adjectives and pseudo-objectivity. Pattern F (Mundane Parallel Life): Introducing a new sub-typology for Rule 6 (Atmosphere Contradiction). Pattern F captures the “indifferent world”—mundane, biological, or routine human actions that break the emotional absolute of a scene (e.g., a neighbor hopping over a puddle during a moment of profound grief). Load-Bearing Elements: For the first time, we have explicitly tagged “load-bearing” spans in the training data. These are structural anchors that models must learn to preserve during edit or rewrite tasks to maintain biophysical impact. Transparency & Auditing Consistent with our commitment to non-black-box scoring, the apply_rules.py deterministic, bilingual pipeline is available in the repository files for auditing the Six Golden Rules within the corpus or your own generated outputs. Academic Integration The project is backed by a chain of 44 DOI records , including our registered pilot report on Narrative Entropy ( S_n) and the pre-registered OPCT v2.0 biophysical validation protocol.

Explore the Matris: Dataset, Tools & Hard Negatives: huggingface.co/datasets/leventbulut/objective-projection Methodology & Doctrine Archive: leventbulut.com

Levent Bulut Independent Researcher | ORCID: 0009-0007-7500-2261