```xml <result> <column_name>f_boxer_ranking</column_name> <family>additive</family> <subtype>intensive_additive</subtype> <confidence>0.85</confidence> <requires_user_confirmation>false</requires_user_confirmation> <sum_meaningful>false</sum_meaningful> <signed>false</signed> <reducers> <primary_reducer>min</primary_reducer> <valid_reducers>min, max, median, mode</valid_reducers> <excluded_reducers>sum (summing ranks is meaningless), product (not a ratio), mean (ordinal scale makes arithmetic mean questionable)</excluded_reducers> <average_semantics>n/a</average_semantics> </reducers> <inner_outer_measure> <inner_measure_reducer>min</inner_measure_reducer> <outer_measure_reducer>max</outer_measure_reducer> </inner_outer_measure> <multiplicative_partner_derivable>false</multiplicative_partner_derivable> <reasoning> DIMENSION table with no sequence axis makes multiplicative highly implausible. The column name "f_boxer_ranking" clearly indicates an ordinal rank position (1=best, 56=worst). Ranking values are intensive levels that describe position in an ordering; summing ranks across entities is meaningless (you cannot add "rank 1" and "rank 2" to get "rank 3"). The primary reducer for aggregating ranks is min (best rank) or max (worst rank), not sum or mean. High null fraction (56%) is consistent with not all boxers being ranked. Classified as intensive_additive rather than ordinal_additive because this is a DIMENSION table without a sequence axis to normalize along. </reasoning> <table_type_conflict>false</table_type_conflict> </result> ```