The Automated Consensus Pipeline Engine: Replications and Flat Dataset Metrics

This repository archives the official replication dataset, processing source code, and empirical assets for the paper titled "The Automated Consensus: A Hierarchical Evaluation of Task-Sensitive Semantic Relatedness in Aligned Large Language Models" (Mehta, 2026). The payload contains the complete 240-observation empirical text matrix aggregated across twenty unique operational crisis scenarios (N=20), evaluating OpenAI's GPT-5.5 engine and Google's Gemini 3.5 Flash (Fast) platform under adversarial system constraints. Included Archive Files: dataset.csv: The unified, flat database tracking text entries against strict structural metadata variables [model, scenario, task, run, text]. automated_consensus_engine.py: The production pipeline script that executes 768-dimensional sentence-vector coordinate tracking (all-mpnet-base-v2), moving-average token diversity mapping (MATTR-50), zero-shot heuristic classification (BART-Large-MNLI), and the 10,000-iteration paired hierarchical block bootstrap difference test. README.md: Comprehensive environmental dependency manual and execution instructions. Open-Science Compliance: This repository is maintained for open-access scientific verification, computational humanities replication, and algorithmic audit tracking under the Creative Commons Attribution 4.0 International (CC-BY-4.0) license.