<b>Code, raw results, and statistical tables for: Translating Günther Anders’ Critical Theory into Algorithmic Fairness: A Simulation-Based Proof of Concept for Fairness-Enhanced Decision Support with Simulated Human Review</b>

The simulated data are generated in memory by generate_agricultural_data_biased(), generate_agricultural_data_biased_v2(), and generate_full_dataset(); no data file is needed.</b></p><p dir="ltr"><b>- experiments/run_credit_clean.py: the German Credit experiments (data loaded from OpenML, data ID 31; a copy of the UCI data file is in data/).</b></p><p dir="ltr"><b>- experiments/run_r3_additions.py and src/fe_hitl_r3.py: read-only analyses added in the third revision (Algorithm 1 as specified, single-candidate controls, feedback-and-update diagnostics).</b></p><p dir="ltr"><b>- experiments/revision_results/ and experiments/credit_revision_results/: raw per-seed results, i.e., the data points behind all reported means, standard deviations, and tests.</b></p><p dir="ltr"><b>- regen_stats.py, inference_fixed.py, fairness_cost_joint.py: regenerate every statistical table of the article and its S1 Appendix from the raw results into r3_tables/. r3_tables/MANIFEST.json records input hashes, library versions, and statistical conventions.</b></p><p dir="ltr"><b>- requirements.txt and requirements-lock.txt: the software environment (results generated with Python 3.14.3).</b></p><p><br></p><p dir="ltr"><b>Reproducing the statistics</b></p><p dir="ltr"><b>pip install -r requirements.txt</b></p><p dir="ltr"><b>python regen_stats.py</b></p><p dir="ltr"><b>python inference_fixed.py</b></p><p dir="ltr"><b>python fairness_cost_joint.py</b></p><p dir="ltr"><b>The regenerated files in r3_tables/ match the deposited ones to numerical precision.

See README.md for the full run order and seed sets.</b></p><p><br></p><p dir="ltr"><b>Notes</b></p><p dir="ltr"><b>- The fixed-ratio post-processing baseline called FRP in the article is labelled "Debiased-HITL" in the code and data files; it is an author-designed heuristic.</b></p><p dir="ltr"><b>- Files listed as superseded in README.md, as well as data/generate_agricultural_data.py and appendix/S1_Appendix.md from the first submission, are not used by any reported result.</b></p><p dir="ltr"><b>- German Credit data: Hofmann H. Statlog (German Credit Data).

UCI Machine Learning Repository; </b></p><p><br></p><p dir="ltr"><b>This version replaces earlier versions, which corresponded to earlier revisions of the manuscript. The code is released under the MIT License.</b></p>