S/E Partition Pilot — Ising-like Synthetic Demo (F·I·S·E Validation Package) This dataset accompanies the Law of Responsiveness white paper and provides a reproducible pilot for computing the S/E partition—the split between dissipated (S) and elastic (E) transformation potential—using the formula dR = F · gg · dΦ. The package includes a synthetic Ising-like critical-window dataset, Python scripts, and results demonstrating how independent estimation of F (efficity) and I (irreversibility) naturally yields the normalized partition F : S : E ≈ 50 : 30 : 20 with quantitative closure.

This dataset provides a reproducible demonstration of independent estimation of S (dissipation) and E (elasticity) from the Law of Responsiveness proportional form dR = F · gg · dΦ, applied to a synthetic Ising-like critical-window time series. The package contains: data/ising_like_series.csv — synthetic dataset emulating Ising spin dynamics near criticality scripts/compute_partition.py — fully reproducible Python script to compute F, I, S, E results/F_I_SE_summary.csv — tabulated output with confidence intervals figures/partition_bars.png — visualization of normalized partition (≈ 57 : 28 : 15) README.md — methods overview and reproduction instructions Purpose: to demonstrate how S and E can be independently recovered using an irreversibility metric (I) derived from time-reversal asymmetry, yielding the normalized partition S = (1 − F) · I, E = (1 − F) · (1 − I), with F + S + E ≈ 1. This pilot package underpins Section 4.3 (“Independent Measurement of S and E via Irreversibility Partitioning”) of the Law of Responsiveness white paper and serves as a reproducibility reference for later real-data validations.