<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Topics tagged with snowball]]></title><description><![CDATA[A list of topics that have been tagged with snowball]]></description><link>https://board.circlewithadot.net/tags/snowball</link><generator>RSS for Node</generator><lastBuildDate>Fri, 15 May 2026 06:51:51 GMT</lastBuildDate><atom:link href="https://board.circlewithadot.net/tags/snowball.rss" rel="self" type="application/rss+xml"/><pubDate>Invalid Date</pubDate><ttl>60</ttl><item><title><![CDATA[Reviewing something where the researcher uses the sampling technique of &quot;snow-blowing&quot; and, brother, I feel you.]]></title><description><![CDATA[@transitionalaspect Well now I'm trying to imagine a sampling technique that could justify the "snowblow" name. Chopping up things from over here &amp; spraying them on top over there? Maybe that's when you take an initial dataset, use it to train an LLM, and then have the machine regurgitate mashed-up synthetic examples?(For anyone unfamiliar: a snowball sample is when you start with a few documents/persons that meet your criteria &amp; then follow their references/personal connections to others, getting bigger &amp; bigger as you go, like rolling a snowball out of sticky snow.)]]></description><link>https://board.circlewithadot.net/topic/c636f3a1-a0fb-4ced-985d-4fa7a974c8e7/reviewing-something-where-the-researcher-uses-the-sampling-technique-of-snow-blowing-and-brother-i-feel-you.</link><guid isPermaLink="true">https://board.circlewithadot.net/topic/c636f3a1-a0fb-4ced-985d-4fa7a974c8e7/reviewing-something-where-the-researcher-uses-the-sampling-technique-of-snow-blowing-and-brother-i-feel-you.</guid><dc:creator><![CDATA[ameliasbrain@mstdn.ca]]></dc:creator><pubDate>Invalid Date</pubDate></item></channel></rss>