====PAGE-LEVEL METADATA==== University Daily Kansan Page 0329_1 from reel: NP 16559 (2016-08-16 to 2017-07-26) https://digital.lib.ku.edu/ku-udk/49617 Title: Liston: Private Prisons Should Be Abolished Summary: Columnist Ryan Liston argues that private prisons should be abolished, citing evidence of increased violence, poor conditions, and conflicts of interest in for-profit prison operations, with specific reference to Kansas facilities. Category: opinion Subjects: criminal justice reform; prison system; private prisons; criminal justice policy Named Entities: Liston, Ryan [columnist]; Sessions, Jeff [Attorney General]; Obama, Barack [former President]; Yates, Sally [former Deputy Attorney General]; Brownback, Sam [former Kansas Governor] Confidence: 0.9 Title: McCarthy: Tax Reform Still Needed in KS Summary: Kevin McCarthy argues that Kansas still needs comprehensive tax reform, criticizing the current tax structure and calling for changes to address revenue issues and economic challenges in the state. Category: opinion Subjects: tax policy; state budget; Kansas legislature; economic policy Named Entities: McCarthy, Kevin [columnist]; Brownback, Sam [former Kansas Governor] Confidence: 0.9 Title: Illustration by Erica Gonzales/Kansan Summary: Editorial cartoon depicting private prisons as cages with dollar signs, symbolizing the profit motive in incarceration and critiques of the private prison system. Category: editorial cartoon Confidence: 0.8 Title: How to Submit a Letter to the Editor Summary: Instructions for readers on how to submit letters to the editor, including word count limits and contact information. Category: informational content Confidence: 0.9 Title: Contact Us Summary: Contact information for The University Daily Kansan editorial staff, including names and email addresses for editor-in-chief, business manager, and editorial board members. Category: informational content Confidence: 0.9 Title: [classifieds] Category: classifieds Confidence: 0.9 Title: [advertisements] 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.