- Research on organism adoption, commons, power persistence, lobbying,
human-capital persistence, age gaps and care load
- grounding.py: grounded parameter sets (central / slow adoption) with own
equilibrium start and recalibrated channels; tested
- grounded_readings.py: all structural readings survive grounding; default
adopts organisms too fast; governance stakes rise with adoption speed;
care load overstated ~4x (joint recalibration of attention extraction)
- ParameterGrounding.md v0.2: register with statuses, evidence, mappings,
validation/falsification tests for ASSEMBLY-WP-0007
- GADM-0.4 model version finalised
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
- gadm04: W, Aw, As start at their equilibria (equilibrium_init, tested);
channel counters calibrated at GADM-0.4's own initial state
- robustness/gsa use the model's own calibration
- P3 now holds in all robustness variants (the T02 exception was an
initial-condition artifact); life-cycle readings confirmed
- GSA rerun: model mostly additive (sum S1 ~0.99 generative, was 0.89);
governance levers m, L, r_lin strongly non-linear; T03 reading corrected
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
- gsa.py: any model (--model), parallel (--jobs), channel counters
recalibrated per sample; reproduces the GADM-0.2 analysis exactly
- GADM-0.4: additive at baseline, but governance levers (m, L, r_lin)
interact strongly in the generative regime; commons investment now the
top baseline driver; organism capability level confirmed as top
uncertainty; explainability gains weight via power channels
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
- dO grounded at 0.20/yr (software, R&D capital, AI hardware evidence);
investment/learning rescaled so the baseline organism path is unchanged
- robustness.py: key readings hold for grounded dO and brackets on channel
self-reinforcement and wealth conversion; P3 effect size grows at strong
self-reinforcement
- models/ParameterGrounding.md: register of grounded / bracketed / assumed /
calibrated parameters, open grounding needs
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
