====PAGE-LEVEL METADATA==== University Daily Kansan Page 0298 from reel: NP 8426 (1999-08-16 to 1999-10-29) https://digital.lib.ku.edu/ku-udk/53687 Title: Big 12 Teams to Be Tested in Weekend Games Summary: Article previewing upcoming college football games featuring Big 12 teams, including Nebraska at Iowa, Alabama-Birmingham at Missouri, and Colorado vs. Colorado State, with predictions from various sports editors. Category: sports Subjects: college football; Big 12 Conference; sports predictions Named Entities: Rigg, Michael T. [sports editor]; Newcombe, Bobby [quarterback]; Smith, Larry [football coach]; Moschetti, Mike [quarterback] Confidence: 0.9 Title: Second Week Football Predictions Summary: Table showing football game predictions for various matchups including Nebraska at Iowa, Colorado vs. Colorado State, and Texas Tech at Arizona State, with predictions from multiple sports staff members. Category: sports Subjects: college football; sports predictions; Big 12 Conference Named Entities: Fickett, Chris [sports editor]; Hallier, Brad [sports editor]; Wood, Julie [editor in chief]; Rigg, Michael T. [Big 12 football reporter]; Miller, Mike [Kansas football reporter]; Rahmeier, Nathan [student] Confidence: 0.85 Title: Attention Students!!! You Are Invited to the 1st Meeting of the Year! Summary: Announcement for the first meeting of the University of Kansas Student Senate, including Committee Orientation scheduled for September 8, 1999 at 6:00 p.m. in Kansas Union Ballroom. Category: announcement Subjects: student government; university events; committee orientation Named Entities: University of Kansas Student Senate Confidence: 0.9 Title: [advertisements] Advertisers include: Student Senate, the University of Kansas; DER Travel Services; The BORN LOVERS; Papa John's; Travellers Inc.; The TICKETFINDER; The Kansan; The Etc. Shop; Play It Again Sports; Kansan Classifieds; Au Marché; 100s Announcements; 200s Employment; Liberty Dance Category: advertisements Confidence: 0.9 Title: [classifieds] Category: classifieds 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.