====PAGE-LEVEL METADATA====
University Daily Kansan
Page 0087_1 from reel: NP 14838 (2008-08-18 to 2008-12-15)
https://digital.lib.ku.edu/ku-udk/42160

Title: Come On, Baby, Lick My Fire
Summary: Student Richard Holmgren performs fire-eating act during Lawrence's inaugural Busker Festival, entertaining crowds with his flaming torch performance.
Category: features/profiles
Subjects: student life; campus events; fire performance
Named Entities: Holmgren, Richard [student]
Confidence: 0.85

Title: Nuns the Main Attraction in Online Beauty Pageant
Summary: Italian priest Antonio Rungi organizes 'Miss Sister 2008' online beauty pageant for nuns to challenge stereotypes about Catholic sisters.
Category: features/profiles
Subjects: religious news; online contests; Catholic Church
Named Entities: Rungi, Antonio [priest]
Confidence: 0.8

Title: Typo Almost Rewards Employee Six-Figure Bonus
Summary: Oklahoma state employee Jo Harris nearly received $850,000 bonus due to decimal point error in payroll system before officials caught the mistake.
Category: features/profiles
Subjects: employment; financial errors; government
Named Entities: Harris, Jo [state employee]
Confidence: 0.8

Title: Students Must Update Contact Information
Summary: University requires students to update contact information through Enroll and Pay system for emergency notifications and important communications.
Category: local news
Subjects: university administration; student services; technology
Named Entities: Hahn, Joan [assistant university registrar]
Confidence: 0.85

Title: Prepare for a Cold Winter, Almanac Says
Summary: Farmers' Almanac predicts colder-than-average winter for most of U.S., with above-normal snowfall for Great Lakes and Midwest regions.
Category: informational content
Subjects: weather forecasting; climate predictions; almanacs
Named Entities: Geiger, Peter [almanac editor]; Weatherbee, Caleb [weather expert]
Confidence: 0.8

Title: [advertisements]
Advertisers include: KU Bookstores; KU Memorial Unions
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.