====PAGE-LEVEL METADATA==== University Daily Kansan Page 0053 from reel: NP 15834 (2012-01-17 to 2012-07-23) https://digital.lib.ku.edu/ku-udk/118885 Title: Taylor Blasts Fans on Twitter Summary: Article about an athlete named Taylor who criticized fans on Twitter, with sports photo showing baseball players in action. Category: sports Subjects: social media; athletes; fan relations Confidence: 0.85 Title: Seasouleu Coach to Coordinate Jayhawk Defense Summary: Article about Dave Campo joining the Kansas football coaching staff to coordinate the defensive unit, with background on his previous coaching experience. Category: sports Subjects: football coaching; defensive strategy; college football Named Entities: Campo, Dave [football coach]; Weis, Charlie [football coach] Confidence: 0.8 Title: Notable Players Under Campo Summary: Sidebar listing prominent football players who played under coach Dave Campo during his previous coaching positions. Category: sports Subjects: football players; coaching history; athletic achievements Named Entities: Sanders, Deion [football player]; Blades, Bennie [football player]; Woodson, Darren [football player]; Newman, Terence [football player]; Mathis, Rashean [football player] Confidence: 0.75 Title: Photo: Team Captain Tears ACL, Will Sit Out Season Summary: Sports photo showing baseball players in action with caption about team captain suffering ACL injury. Category: photos/graphics Subjects: sports injuries; athletes; baseball Confidence: 0.9 Title: Your Daily Dose. Summary: Promotional graphic featuring prescription bottle with UDK branding and 'your daily dose' text. Category: informational content Subjects: student media; promotional content; UDK Confidence: 0.8 Title: Air for Cu Summary: Column discussing football program developments and coaching changes at the University of Kansas. Category: sports Subjects: sports commentary; football analysis; college athletics Confidence: 0.7 Title: [advertisements] Advertisers include: University Daily Kansan (UDK) 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.