====PAGE-LEVEL METADATA==== University Daily Kansan Page 0187_1 from reel: NP 16432 (2014-08-20 to 2014-12-18) https://digital.lib.ku.edu/ku-udk/30303 Title: The Weekly Weather Forecast Summary: Five-day weather forecast showing high and low temperatures for Tuesday through Friday, with brief weather descriptions for each day. Category: informational content Subjects: weather; forecast; temperature; local weather Confidence: 0.95 Title: Calendar Summary: Calendar of events for Tuesday, Sept. 30 through Friday, Oct. 3, including welcome receptions, food drives, wellness fairs, and other campus activities. Category: calendar/listings Subjects: events; campus events; local events; schedules Confidence: 0.9 Title: Student Campaigns for Kansas House Summary: Article about University of Kansas student Nick VanWyhe campaigning for Kansas House seat, detailing his door-to-door efforts and challenges as a Republican candidate in a Democratic-leaning district. Category: campus news Subjects: student politics; election campaigns; local politics; student involvement Named Entities: VanWyhe, Nick [student candidate]; Anderson, Morgan [College Republicans president] Confidence: 0.85 Title: Freshman Class Is Most Diverse in School History Summary: Article reporting that KU's freshman class is the most diverse in school history, with increased minority student representation and overall growth in enrollment numbers. Category: campus news Subjects: university enrollment; diversity; student demographics; freshman class Named Entities: Melvin, Matt [vice provost for enrollment management] Confidence: 0.9 Title: Weis From Page 1 Summary: Continuation of article about Weis football contract termination and related athletic department decisions, including financial incentives and conference implications. Category: informational content Subjects: university athletics; football; coaching changes; Big 12 conference Confidence: 0.8 Title: [advertisements] Advertisers include: Yonder Mountain String Band; Marks Jewelers 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.