====PAGE-LEVEL METADATA==== University Daily Kansan Page 0170 from reel: L 3329 (1992-01-15 to 1992-07-22) https://digital.lib.ku.edu/ku-udk/125986 Title: Ticket Policy Slights Students Summary: Editorial criticizing KU Athletic Department ticket policy that favors wealthy alumni over students, limiting student access to basketball games and creating a two-tier system. Category: opinion Subjects: athletic department; ticket policy; student access Named Entities: Stephen Martino [editorial board] Confidence: 0.9 Title: RAs' Dual Roles Are One Reason for Hall Vacancies Summary: Guest column discussing how Resident Assistants' dual roles as both students and authority figures contribute to housing hall vacancies at KU. Category: opinion Subjects: resident assistants; housing; student life Named Entities: Brian Doyle [guest columnist] Confidence: 0.85 Title: U.S. Should Promote Peace Summary: Editorial arguing the U.S. should stop selling munitions and focus on promoting democracy and peace rather than prolonging conflicts. Category: opinion Subjects: foreign policy; arms sales; peace promotion Named Entities: Chris Moeser [editorial board] Confidence: 0.9 Title: International Perspectives Summary: Column featuring international viewpoints on various topics including President Bush's state of the union, Middle East peace, and nuclear disarmament. Category: opinion Subjects: foreign policy; international relations; global issues Named Entities: David Rosenfield Confidence: 0.8 Title: Editorial Cartoon on Healthcare Summary: Cartoon depicting healthcare system with caption about tax credits for low-income families, illustrating disparities in healthcare access. Category: editorial cartoon Subjects: healthcare; tax policy; low-income families Confidence: 0.85 Title: [comic strips] Category: comic strips Confidence: 0.8 Title: Kansan Staff Listing Summary: Listing of University Daily Kansan editorial and business staff with their positions. Category: informational content Subjects: newspaper staff; editorial team; publication information 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.