gspc-gov dict | gspc-care dict | item_starved_not_trained dict |
|---|---|---|
{
"base_acc": 0.175,
"tuned_acc": 0.775,
"gain": 0.6,
"n_eval": 40,
"base_ci": [
0.087,
0.32
],
"tuned_ci": [
0.625,
0.877
]
} | {
"base_acc": 0.425,
"tuned_acc": 0.875,
"gain": 0.45,
"n_eval": 40,
"base_ci": [
0.285,
0.578
],
"tuned_ci": [
0.739,
0.945
]
} | {
"gspc-asi": 33,
"gspc-mach": 33,
"gspc-xr": 32,
"gspc-prv": 32,
"note": "<60 items — too few for honest train+40-eval split; need items authored first, NOT a fake run"
} |
GSPC Arena Results — Cross-Model Per-Axis Routing
Real measured results from the SOV3 arena: 8 models scored across 12 GSPC governance axes via the sovereign model relay, n=20/cell with Wilson confidence intervals.
Contents
clan_routing_table_FINAL.json— per-axis winner + CI (8/12 sovereign-family-won, falcon3 4/12)arena_binom_12axes.json— 12 axes, all above chance (binomial-verified, correct per-axis baselines)sov34_board.json— sovereign model full boardgsm8k_benchmark_agnostic_proof.json— proof the harness scores any benchmark (GSM8K, not just GSPC)sovereign_family_map.json— the ~30 trained sovereign variants
Honest caveats
- n=20/cell: routing winners have overlapping CIs; ~half the per-axis winners are statistical ties.
- Scores are single-run temperature-0; indicative of specialization, not final rankings.
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