llm_society campaign: 4 seed-configs (N=8, G=10, 4 arms) + CX3 PBS array

Queue strategy per GG: one self-contained job per seed (founders inline - no
cache races, no dependencies), single L40S, 6 h walltime (measured: pilot ran
31 min/arm on the A4000, so a seed is ~2.5-3.5 h) - short independent jobs
that backfill well. Seed 1 runs locally on the A4000 as queue insurance;
seeds 2-4 go to CX3 as array elements. 0.5B for the campaign (sign-level,
seed-replicated, the paper's established pattern); a single 7B confirm of the
headline contrast is the post-campaign step.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01BkRLcc18rwT2Lysu6PbG7v

configs/llm/society_campaign_s1.yaml

@@ -0,0 +1,23 @@
+# The society campaign: 4-arm ablation, one seed per job (founders trained inline, no cache races).
+# Seed 1 runs locally (A4000, queue insurance); seeds 2-4 on CX3 (hpc/llm_society.pbs, L40S).
+experiment: llm_society_campaign
+kind: llm_society
+base_model: Qwen/Qwen2.5-0.5B-Instruct
+seed: 1
+agents: 8
+generations: 10
+arms: [full, no_grounding, no_sex, no_diversity]
+g: 0.5
+lam: 0.3
+n_test: 40
+n_val: 30
+n_conf: 90
+n_inherit: 600
+n_candidates: 6
+elitism: 1
+n_parents: 4
+epochs: 3
+spec_train: 600
+spec_epochs: 3
+lora: {r: 16, alpha: 32}
+output: {dir: results/llm_society_campaign/s1}