diff --git a/src/municipalities/02-CA.R b/src/municipalities/02-CA.R
index b4f2f6c..d4d491a 100644
--- a/src/municipalities/02-CA.R
+++ b/src/municipalities/02-CA.R
@@ -2,26 +2,25 @@
 #  02-CA.R  ·  Correspondence Analysis of the 2022 municipal cross-section
 # =============================================================================
 #
-#  Bourdieusian framework:
 #    - Individuals (rows):  290 Swedish municipalities
 #    - Active columns:      population-composition counts — variables that all
 #                            measure "number of residents with attribute X",
 #                            sharing a common unit (persons). The active set is
 #                            deliberately restricted to age structure,
-#                            educational capital (Swedish-born, by gender),
+#                            educational attainment (Swedish-born, by gender),
 #                            employment sector, and national origin. These
-#                            variables together define the compositional profile
+#                            variables together define the profile
 #                            of the municipality's resident population.
-#    - col.sup (a):         educational provision counts — the research object
-#    - col.sup (b):         political vote and council counts — outcomes
-#    - col.sup (c):         infrastructure & mobility counts — dwellings,
+#    - col.sup (a):         educational provision counts
+#    - col.sup (b):         political vote and council counts
+#    - col.sup (c):         infrastructure & mobility counts,
 #                            vehicles, commuter flows, agricultural enterprises,
 #                            livestock; genuine counts but measuring different
 #                            entities (not persons), so they cannot share a
 #                            contingency table with the active columns
 #    - Outside CA:          rates, proportions, continuous measures, and
 #                            count variables measuring event flows (births,
-#                            deaths, migration) → correlated with CA row
+#                            deaths, migration) correlated with CA row
 #                            scores post-hoc
 #
 #  Why restrict active variables to person-counts?