- aext recalibrated to 0.275 against ATUS and social-media time-use data; baseline attention headroom now ~0.49 instead of rising to 0.65 - T03/T04 stages stay reproducible (t03_params, t04_params; verified) - organism_grid.py: factorial analysis; lineage ownership is the strongest organism lever, then membrane control, then attention protection (which acts on A, not on power); lineage x membrane complementary at baseline; organism governance without attention protection raises attention draw Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Assistant: claude-code Assistant-Model: opus Assistant-Process: 1494246@bnt-lap001 Assistant-Session: caf6de6f-f9e4-47ce-a584-49baa271fa4b |
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|---|---|---|
| .. | ||
| gadm02 | ||
| README.md | ||
Simulations
Runnable implementations of the models in models/. Each simulation names the
model version it implements.
| Directory | Model | Entry points |
|---|---|---|
gadm02/ |
GADM-0.2 (models/GADM-0.2.md) |
run_scenarios.py, sensitivity.py, gsa.py, test_gadm02.py |
gadm02/gadm03.py |
GADM-0.3: power channels, wealth (models/GADM-0.3.md) |
power_channels.py, wealth.py, organism_grid.py, test_gadm03.py |
Python 3.10+, standard library only. Use python3 -B after quick edits: a stale
bytecode cache can mask same-size changes made within the same second.
python3 -m unittest discover -s simulations/gadm02 # tests
cd simulations/gadm02 && python3 run_scenarios.py # → results/summary.md + CSVs
cd simulations/gadm02 && python3 sensitivity.py # → results/sensitivity.md
cd simulations/gadm02 && python3 gsa.py # → results/gsa.md (~5 min; --quick)
Results under results/ are committed so that model documents can cite them.
Regenerate them after any change to the model or the scenarios.