====PAGE-LEVEL METADATA==== University Daily Kansan Page 0154 from reel: NP 8427 (1999-11-01 to 2000-07-26) https://digital.lib.ku.edu/ku-udk/107416 Title: Big 12 Championship Taking Shape Summary: Analysis of Big 12 championship race with upcoming games that will determine postseason positioning, including matchups between Texas A&M-Missouri, Colorado-Baylor, and Kansas-Oklahoma State. Category: sports Subjects: college football; Big 12 Conference; conference standings; postseason implications Named Entities: Shankel, Richard [chancellor]; Johnson, Maria [student body president] Confidence: 0.9 Title: Plenty on the Line for 'Huskers, 'Cats Summary: Preview of Nebraska-Kansas State matchup with implications for Big 12 North division standings and national championship hopes for both teams. Category: sports Subjects: college football; Nebraska Cornhuskers; Kansas State Wildcats; Big 12 Conference Named Entities: Smith, Tom [Kansas State coach]; Snyder, Bill [Kansas State coach]; Brown, Frank [Nebraska coach] Confidence: 0.85 Title: Texas Keeps Hopes of Title Berth Under Wraps Summary: Texas coach Mack Brown discusses team's preparation and championship hopes ahead of crucial game against Texas Tech, with focus on South division title implications. Category: sports Subjects: college football; Texas Longhorns; Big 12 Conference; conference title race Named Entities: Brown, Mack [Texas coach]; Mitchell, Hodges [Texas player] Confidence: 0.85 Title: Penn State Hungry to Defeat Michigan After Two Consecutive Losses Summary: Preview of Penn State-Michigan game with analysis of Penn State's motivation to end two-game losing streak to Michigan, including historical context of the rivalry. Category: sports Subjects: college football; Penn State Nittany Lions; Michigan Wolverines; rivalry games Named Entities: Paterno, Joe [Penn State coach]; Kinney, David [Associated Press] Confidence: 0.85 Title: [advertisements] Advertisers include: Golden Key Honor Society; Easton's Limited; Im Mobile Category: advertisements Confidence: 0.9 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.