{"id":42,"date":"2025-11-02T18:05:34","date_gmt":"2025-11-03T01:05:34","guid":{"rendered":"https:\/\/blogs.ubc.ca\/mcafuta\/?page_id=42"},"modified":"2025-11-02T18:05:34","modified_gmt":"2025-11-03T01:05:34","slug":"task-9-using-golden-record-curation-quiz-data","status":"publish","type":"page","link":"https:\/\/blogs.ubc.ca\/mcafuta\/task-9-using-golden-record-curation-quiz-data\/","title":{"rendered":"Task 9: Using Golden Record Curation Quiz Data"},"content":{"rendered":"

Overview<\/strong><\/h3>\n

This assignment is part of a module exploring data visualization and digital networks using class responses from the Voyager\u2019s Golden Record Curation Quiz<\/em>. Each participant selected tracks from the Golden Record, and the collective data was used to generate a social network graph in Palladio<\/em> (a digital humanities visualization tool from Stanford University).<\/p>\n

The goal is to analyze how shared musical choices form visible patterns of connection between people, songs, and communities, and to reflect on what those visualizations reveal (and conceal) about taste, culture, and interpretation.<\/p>\n

When I imported the Golden Record quiz data into Palladio, I expected a clean map of our shared musical interests. Instead, what emerged was a dense web that revealed how meaning shifts depending on which lens you use. I explored three main data relationships: Curator to Track<\/em>, Community to Track<\/em>, and Track to Curator<\/em>. Each told a different version of the same story about connection and interpretation.<\/p>\n

 <\/p>\n

Curator and Track<\/strong><\/p>\n

\"curator<\/p>\n

In the Curator and Track view, every person was linked directlyto their musical choices. The network looked alive as lines crossed everywhere, creating clusters where classmates had chosen the same songs. \u201cKinds of Flowers,\u201d \u201cPanpipes and Drum (Peru),\u201d and \u201cThe Magic Flute\u201d stood out as central hubs, pulling multiple participants together. Seeing my own name surrounded by these shared selections made the abstract exercise feel social and human. The visualization turned data points into relationships, showing how personal taste overlaps into small cultural networks.<\/p>\n

Community and Track<\/strong><\/p>\n

\"\"<\/p>\n

Switching to Community and Track rearranged the map completely. Palladio grouped curators into numbered communities based on shared preferences. This revealed subcultures within the class\u2014some centered on classical pieces like Brandenburg Concerto<\/em> and The Magic Flute<\/em>, while others leaned toward folk or vocal tracks such as Flowing Streams<\/em> and Jaat Kahan Ho<\/em>. What caught my attention was how \u201cKinds of Flowers\u201d crossed multiple communities, connecting people across stylistic lines. This view highlighted how some music acts as a bridge rather than a divider, and how algorithms can sometimes capture social nuance we might miss.<\/p>\n

Track and Curator<\/strong><\/p>\n

\"\"<\/p>\n

Finally, the Track and Curator view inverted the relationship. Now, the songs became the anchors, and the listeners radiated outward. The visual effect was visually appealing as popular tracks appeared as busy hubs, while niche ones like \u201cCrane\u2019s Nest\u201d and \u201cRite of Spring\u201d stood on the outskirts with only a few connections. This configuration made it easy to see which pieces resonated most widely and which ones represented more individual taste. It also underscored how visualization can shape interpretation: by placing the music at the center, Palladio subtly suggested that the tracks, not the people, were the defining agents of connection.<\/p>\n

Across these three perspectives, one thing became clear: data visualizations are not neutral mirrors. They construct meaning through structure and emphasis. Palladio\u2019s networks could show who connected to what, but not why…<\/em>they couldn\u2019t capture the emotional pull of a melody or the cultural memories behind a choice. Still, the process made visible something otherwise invisible: a shared cultural space built from individual listening. Like the Golden Record itself, the visualization became a map of human expression, reminding me that every point of connection hides a story.<\/p>\n

Reference<\/strong>
Palladio Project. (n.d.). Palladio<\/em>. Stanford University. https:\/\/hdlab.stanford.edu\/palladio\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Overview This assignment is part of a module exploring data visualization and digital networks using class responses from the Voyager\u2019s Golden Record Curation Quiz. Each participant selected tracks from the Golden Record, and the collective data was used to generate a social network graph in Palladio (a digital humanities visualization tool from Stanford University). The […]<\/p>\n","protected":false},"author":105884,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-42","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blogs.ubc.ca\/mcafuta\/wp-json\/wp\/v2\/pages\/42","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.ubc.ca\/mcafuta\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.ubc.ca\/mcafuta\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/mcafuta\/wp-json\/wp\/v2\/users\/105884"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/mcafuta\/wp-json\/wp\/v2\/comments?post=42"}],"version-history":[{"count":1,"href":"https:\/\/blogs.ubc.ca\/mcafuta\/wp-json\/wp\/v2\/pages\/42\/revisions"}],"predecessor-version":[{"id":47,"href":"https:\/\/blogs.ubc.ca\/mcafuta\/wp-json\/wp\/v2\/pages\/42\/revisions\/47"}],"wp:attachment":[{"href":"https:\/\/blogs.ubc.ca\/mcafuta\/wp-json\/wp\/v2\/media?parent=42"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}