====PAGE-LEVEL METADATA==== University Daily Kansan Page 0165_2 from reel: NP 16287 (2014-01-20 to 2014-07-21) https://digital.lib.ku.edu/ku-udk/112245 Title: Coalitions Choose Names, Establish Platforms Summary: Article about student coalitions forming for spring Student Senate elections, including Jayhawkers and GrowKU, with details on their platforms and core values. Category: campus news Subjects: student government; university politics; student organizations Named Entities: Arvesen, Amelia [reporter]; Oatman, MacKenzie [student]; Mies, Chelsea [editor] Confidence: 0.9 Title: Realizing Revolution: Student Witnesses Protests in Ukraine Summary: Student reporter Taylor Broadfoot shares personal account of witnessing protests in Ukraine, including observations of government corruption and student activism. Category: national news Subjects: ukraine protests; political unrest; student experiences Named Entities: Broadfoot, Taylor [reporter]; Washington, D.C. [location]; Greenberg, Dr. Marc [academic]; Six, Dr. Irina [academic] Confidence: 0.85 Title: Request Pulled for Fieldhouse Apartments Summary: University withdraws request for $17.5 million bond to fund fieldhouse apartments building after encountering opposition. Category: local news Subjects: university housing; athletics facilities; bond financing Named Entities: Marchiony, Jim [Athletics Director]; Caboni, Tim [Vice Chancellor] Confidence: 0.8 Title: Photo: Ukraine Protests Scene Summary: Contributed photo showing protest scene in Ukraine with barricades and flags, accompanying the international news article. Category: photos/graphics Subjects: ukraine protests; political unrest; visual documentation Confidence: 0.8 Title: Today's Weather Summary: Weather information for Lawrence showing partly cloudy conditions with temperature range and wind details. Category: informational content Subjects: weather forecast; local conditions Confidence: 0.9 Title: [advertisements] Category: advertisements Confidence: 0.9 Title: [classifieds] Category: classifieds 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.