====PAGE-LEVEL METADATA==== University Daily Kansan Page 0900 from reel: NP 14267 (2007-08-13 to 2007-10-22) https://digital.lib.ku.edu/ku-udk/57294 Title: KICK the KANSAN Summary: Sports section featuring staff predictions for upcoming college football games, including Kansas at Colorado, Texas A&M at Nebraska, and other matchups. Includes individual staff picks with records and overall standings. Category: sports Subjects: college football; sports predictions; sports staff picks Named Entities: Thor Nystrom [sports editor]; Eric Jorgensen [managing editor]; Mark Dent [basketball]; Mike Schmidt [junior]; Erica Johnson [columnist]; Pat Tefft [tennis]; Rustin Dodd [volleyball]; Britt Beasley [softball]; Case Keefer [Big 12 Football]; Erick R. Schmidt [editor in chief]; Asher Fusco [football]; Shawn Shroyer [baseball]; Scott Toland [swimming]; Drew Bergman [design chief] Confidence: 0.9 Title: Overheard Summary: Collection of brief quotes and commentary from sports staff about upcoming games, including Kansas at Colorado, Texas A&M at Nebraska, and other matchups. Features predictions and observations about team performances. Category: sports Subjects: college football; sports commentary; game predictions Confidence: 0.8 Title: Kick the Kansan Summary: Reader participation contest where students can pick game outcomes for a chance to win a $25 gift certificate to Jayhawk Bookstore. Includes a form for Week 8 games with spaces for name, email, year in school, and hometown. Category: sports Subjects: sports contest; college football predictions; reader participation Confidence: 0.9 Title: Game of the Week Summary: Featured game analysis highlighting Kentucky quarterback Andre' Woodson, with a photo and description of his performance and upcoming matchup against Florida. Category: sports Subjects: college football; player profiles; game analysis Confidence: 0.8 Title: [advertisements] Advertisers include: Lifestylez; ZLB Plasma; JB Stout's 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.