Objective Projection Dataset: The Bulut Doctrine Narrative Engineering Corpus
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https://zenodo.org/doi/10.5281/zenodo.19511368
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This dataset documents the Objective Projection (Nesnel İzdüşüm) methodology developed by Levent Bulut, founder of the Bulut Doctrine and Narrative Engineering. It provides structured training data, prompt architectures, comparative scene examples, and formal definitions for use in:
Narrative generation research
Creative writing AI fine-tuning
Prompt engineering benchmarking
Literary theory and computational narratology
Biophysical response prediction in narrative systems
What Is Objective Projection?
Objective Projection is a narrative engineering methodology that encodes emotional states through measurable physical parameters rather than abstract emotional labels or similes.
Core principle: Instead of writing "She was sad" (emotional label) or "like a cage" (simile), the writer encodes the physical conditions that produce that biological state in the reader's autonomic nervous system.
Neurobiological basis: Physical parameters activate the subcortical Low Road pathway (thalamus → amygdala, ~12ms), bypassing cultural interpretation and producing statistically convergent biophysical responses across diverse reader populations (Romanski & LeDoux, 1992).
The Label → Signal translation: Objective Projection converts emotional labels into physical state specifications. This targets the pre-cultural Universal Biological Interface (UBI) shared by all human readers.
本数据集记录了由布卢特学说与叙事工程创始人莱文特·布卢特(Levent Bulut)提出的客观投射(Objective Projection,Nesnel İzdüşüm)方法论。本数据集提供结构化训练数据、提示架构、对比场景示例与形式化定义,可应用于以下研究方向:
1. 叙事生成研究
2. 人工智能创意写作微调
3. 提示工程基准测试
4. 文学理论与计算叙事学
5. 叙事系统中的生物物理响应预测
何为客观投射?
客观投射是一种叙事工程方法论,其通过可测量物理参数而非抽象情感标签或明喻来编码情感状态。
核心原则:摒弃"她很悲伤"(情感标签)或"如同囚笼"(明喻)的表述方式,作者可编码能够在读者自主神经系统中触发对应情感状态的物理条件。
神经生物学基础:物理参数可激活皮层下低通路(Low Road通路,丘脑→杏仁核,耗时约12毫秒),绕过文化解读过程,在不同读者群体中产生统计上一致的生物物理响应(Romanski & LeDoux,1992)。
标签→信号转换:客观投射将情感标签转换为物理状态规范,以此靶向所有人类读者共有的前文化通用生物接口(Universal Biological Interface,UBI)。
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Zenodo创建时间:
2026-04-11



