====PAGE-LEVEL METADATA==== University Daily Kansan Page 0939 from reel: NP 10153 (2002-08-19 to 2002-12-12) https://digital.lib.ku.edu/ku-udk/35110 Title: State Rivals Must Break Monotony Summary: Analysis of the Kansas-Kansas State rivalry in football and basketball, noting how the games have become less competitive over time. Category: sports Subjects: college sports; rivalries; football; basketball Named Entities: Mark Mangino [football coach]; Kansas State Wildcats; Kansas Jayhawks Confidence: 0.85 Title: Powers of 10 in Kansas Summary: Coverage of the 100th football game between Kansas and Kansas State, with analysis of the rivalry's history and current state. Category: sports Subjects: college football; rivalry games; Kansas State Wildcats; Kansas Jayhawks Named Entities: John Domoney [writer]; Mark Mangino [football coach]; Reggie Duncan [player] Confidence: 0.9 Title: Nash Hits the Court After Big Summer Summary: Profile of Bryant Nash's improved performance after a productive summer, with quotes from teammates and coach Roy Williams. Category: sports Subjects: college basketball; player profiles; Kansas Jayhawks Named Entities: Jessica Scott [writer]; Bryant Nash [basketball player]; Roy Williams [basketball coach] Confidence: 0.85 Title: Runners to Compete in Big 12 Tournament Summary: Preview of Kansas cross country teams' participation in the Big 12 Cross Country Championships, with analysis of their prospects. Category: sports Subjects: college cross country; Big 12 Conference; athletic competitions Named Entities: Justin Schmidt [writer]; Stanley Redwine [coach] Confidence: 0.8 Title: Columnist Picks 'Cats to Prevail Summary: Columnist Chris Shank predicts Kansas State will defeat Kansas in their football rivalry game, analyzing both teams' strengths and weaknesses. Category: sports Subjects: college football; rivalry analysis; Kansas State Wildcats Named Entities: Chris Shank [columnist]; Bill Snyder [coach]; Mark Mangino [coach] Confidence: 0.85 Note: Descriptive metadata for this item has been generated in part using AI (artificial intelligence) technologies and may be incomplete, misleading, or inaccurate. Please contact the Kenneth Spencer Research Library with specific questions or concerns.