====PAGE-LEVEL METADATA==== University Daily Kansan Page 0284 from reel: NP 4736 (1994-10-27 to 1995-02-22) https://digital.lib.ku.edu/ku-udk/101734 Title: Elimination of Tax Would Create Economic Growth Summary: Editorial arguing that eliminating capital gains tax would stimulate economic growth by releasing capital into the marketplace. Category: opinion Subjects: tax policy; economic growth; capital gains tax Named Entities: Boyd, Richard [editorial board] Confidence: 0.9 Title: Christmas Season Brings Card Anxiety Summary: Columnist Heather Kirkwood discusses the stress and anxiety associated with sending Christmas cards during the holiday season. Category: opinion Subjects: holiday stress; Christmas cards; seasonal traditions Named Entities: Kirkwood, Heather [columnist] Confidence: 0.9 Title: GTA Task Force Should Be Created Summary: Letter to the editor advocating for creation of a task force to address issues related to graduate teaching assistants at KU. Category: opinion Subjects: graduate teaching assistants; university administration; labor relations Named Entities: Reidy, David [philosophy Ph.D. candidate] Confidence: 0.8 Title: Writer Should Get Facts on Welfare Summary: Letter criticizing an editorial writer for not checking facts before writing about welfare reform. Category: opinion Subjects: welfare policy; editorial responsibility; social services Named Entities: Hardin, Greg [writer] Confidence: 0.8 Title: Setting the Record Straight: Alcohol Is Not My Cup of Tea Summary: Columnist Jack Birmingham responds to criticism about his satirical column on alcohol, clarifying his personal stance against drinking. Category: opinion Subjects: alcohol consumption; personal responsibility; satirical writing Named Entities: Birmingham, Jack [columnist] Confidence: 0.9 Title: [comic strips] Category: comic strips Confidence: 0.8 Title: Kansan Staff Summary: Listing of University Daily Kansan staff members and 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.