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Use cultural dimension labels

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This commit is contained in:
aseimel
2026-06-15 15:18:30 +02:00
parent 9a16f3232f
commit 7643658b15
8 changed files with 36 additions and 35 deletions
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src/julia/validate_uncertainty.jl
+4 -3
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@@ -87,7 +87,7 @@ function load_chains_selective(run_dir::String, needed_rr::Set{Int}, K::Int)
# Build the set of column names we need
needed_cols = Set{String}()
# theta columns: economic_lr.{rr} and galtan.{rr} for each unique rr
# theta columns: economic_lr.{rr} and galtan.{rr} (cultural cosmopolitan--traditionalist) for each unique rr
for rr in needed_rr
push!(needed_cols, "economic_lr.$rr")
push!(needed_cols, "galtan.$rr")
@@ -384,6 +384,7 @@ function summarize_coverage(result::DataFrame, ci_level::Float64)
# Overall by dimension
dim_names = Dict(1 => "economic_lr", 2 => "galtan")
display_dim_names = Dict(1 => "economic left-right", 2 => "cultural cosmopolitan--traditionalist")
summary_rows = []
for dim in sort(unique(result.dim_idx))
@@ -394,8 +395,8 @@ function summarize_coverage(result::DataFrame, ci_level::Float64)
ci = wilson_ci(ppc, n)
dim_name = dim_names[dim]
println(@sprintf("\n %-15s: %.1f%% [%.1f%%, %.1f%%] (%d/%d)",
dim_name, 100*ppc, 100*ci.lower, 100*ci.upper, n_covered, n))
println(@sprintf("\n %-40s: %.1f%% [%.1f%%, %.1f%%] (%d/%d)",
display_dim_names[dim], 100*ppc, 100*ci.lower, 100*ci.upper, n_covered, n))
push!(summary_rows, (
dimension = dim_name,