====PAGE-LEVEL METADATA==== University Daily Kansan Page 0042 from reel: NP 5972 (1995-11-01 to 1996-02-29) https://digital.lib.ku.edu/ku-udk/99052 Title: The Border War Summary: Coverage of the 104th Border War football game between No. 11 Kansas and Missouri, including team analysis, player profiles, and game predictions. Category: sports Subjects: college football; rivalry games; Missouri-Kansas rivalry; Big Eight Conference Named Entities: Mason, Glen [Kansas football coach]; Smith, Larry [Missouri football coach]; Byrd, Isaac [Kansas wide receiver]; Jenkins, Rasheen [Kansas wide receiver] Confidence: 0.9 Title: Women's Volleyball Team Prepares to Trample Buffaloes Summary: Preview of Kansas women's volleyball match against Colorado, including team analysis, player updates, and recent performance review. Category: sports Subjects: women's volleyball; college sports; Big Eight Conference; team performance Named Entities: Petulla, Bill [sports writer]; Larson, Jenny [Kansas volleyball player]; Schutz, Melissa [Kansas volleyball player]; Roehde, Laura [Kansas volleyball player]; Williams, Leah [Kansas volleyball player]; Wacholder, Rachel [Kansas volleyball player] Confidence: 0.85 Title: Women's Soccer to End Season Summary: Final season update on Kansas women's soccer team, including injury report for Denise Cooke and season summary. Category: sports Subjects: women's soccer; college sports; season wrap-up; injuries Named Entities: Cooke, Denise [Kansas soccer player]; Walker, Lori [Kansas soccer coach] Confidence: 0.8 Title: Pigskin Predictions Summary: Weekly football predictions chart featuring game picks and odds for upcoming matches. Category: sports Subjects: college football predictions; betting odds; game analysis Confidence: 0.75 Title: I'll Solve Your Bowl Questions Summary: Column analyzing college football bowl scenarios and postseason possibilities for various conferences. Category: sports Subjects: college football bowls; postseason predictions; conference alignments Confidence: 0.8 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.