{
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  "path": "/t/objective-projection-v7-1-narrative-engineering-corpus-targeting-summarization-bias/176410#post_1",
  "publishedAt": "2026-05-30T13:26:05.000Z",
  "site": "https://discuss.huggingface.co",
  "tags": [
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  "textContent": "**Hello everyone,**\n\nI 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.\n\n**What’s new in v7.1: The Battle Against Summarization Bias**\n\nOne 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.\n\n**Hard Negatives Batch 1:** Added 10 complex “Hard Negative” pairs (TR+EN) targeting subtle failure modes like _implicit emotion adjectives_ and _pseudo-objectivity_.\n**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).\n**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.\n**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.\n**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.\n\n**Explore the Matris:** **Dataset, Tools & Hard Negatives:** huggingface.co/datasets/leventbulut/objective-projection\n**Methodology & Doctrine Archive:** leventbulut.com\n\n**Levent Bulut** _Independent Researcher | ORCID: 0009-0007-7500-2261_",
  "title": "Objective Projection v7.1: Narrative Engineering Corpus targeting Summarization Bias"
}