Intercoder reliability report

ai-ai mode · dataset_ai_three_coders.xlsx#coder1, dataset_ai_three_coders.xlsx#coder2, dataset_ai_three_coders.xlsx#coder3 · 1588 shared rows (189 rows not produced by every coder) · 2026-10-31 15:50

VALIDATED. The independent AI coders agree at or above the threshold on every coded variable. The codebook is being applied consistently; human validation (Step 5, Section 3) is still required before the dataset is accepted.

relevance reliable n = 1588

Coder pair% agreementCohen's κ
Coder 1 vs Coder 2100.0%1.0
Coder 1 vs Coder 3100.0%1.0
Coder 2 vs Coder 3100.0%1.0

Fleiss' κ 1.0 · Krippendorff's α 1.0 · mean κ over all pairs 1.0

sector reliable n = 1492

Coder pair% agreementCohen's κ
Coder 1 vs Coder 299.9%0.998
Coder 1 vs Coder 399.9%0.999
Coder 2 vs Coder 399.9%0.999

Fleiss' κ 0.998 · Krippendorff's α 0.998 · mean κ over all pairs 0.999

event_type reliable n = 1492

Coder pair% agreementCohen's κ
Coder 1 vs Coder 298.5%0.977
Coder 1 vs Coder 399.0%0.985
Coder 2 vs Coder 398.0%0.97

Fleiss' κ 0.977 · Krippendorff's α 0.977 · mean κ over all pairs 0.977

leader_visit reliable n = 1492

Coder pair% agreementCohen's κ
Coder 1 vs Coder 299.7%0.994
Coder 1 vs Coder 399.8%0.996
Coder 2 vs Coder 399.7%0.993

Fleiss' κ 0.994 · Krippendorff's α 0.994 · mean κ over all pairs 0.994

province reliable n = 1492

Coder pair% agreementCohen's κ
Coder 1 vs Coder 299.1%0.987
Coder 1 vs Coder 398.8%0.984
Coder 2 vs Coder 399.1%0.987

Fleiss' κ 0.986 · Krippendorff's α 0.986 · mean κ over all pairs 0.986