{"id":1465,"date":"2013-07-02T21:28:05","date_gmt":"2013-07-02T21:28:05","guid":{"rendered":"https:\/\/notebooks.dataone.org\/?p=1465"},"modified":"2019-05-24T17:38:35","modified_gmt":"2019-05-24T17:38:35","slug":"scoring-and-reputation-in-the-metadictionary","status":"publish","type":"post","link":"https:\/\/notebooks.dataone.org\/metadata-registry\/scoring-and-reputation-in-the-metadictionary\/","title":{"rendered":"Scoring and reputation in the metadictionary"},"content":{"rendered":"

I spent the last couple days working on a system for scoring and classifying metadictionary terms with reputation based crowd-sourcing. It’s hard to succinctly describe the goals of the system I’m proposing, but I’ll try:<\/p>\n

    \n
  1. Each newly proposed term should have an equal chance of succeeding, despite reputation. At the same time, it should be possible debunk bad ones quickly.<\/li>\n
  2. When a term has few votes, reputation should play a critical role. However, as the number of voters on a particular term approach the size of the SeaIce community, votes should become equitable.<\/li>\n
  3. Term stability is required for admittance to the canon.<\/li>\n
  4. There are two conditions for stability: one, the owner can’t modify the term\/definition for a certain period of time, and two, the rate of change of the score must be zero.<\/li>\n<\/ol>\n

    Please give the attached write-up a read. I also suggest some additions to the interface. Pending approval from my working group, I’ll be ready to start implementing these things tomorrow.<\/p>\n

    Here you go: scoring.pdf<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

    I spent the last couple days working on a system for scoring and classifying metadictionary terms with reputation based crowd-sourcing. It’s hard to succinctly describe the goals of the system I’m proposing, but I’ll try: Each newly proposed term should have an equal chance of succeeding, despite reputation. At the Continue reading Scoring and reputation in the metadictionary<\/span>→<\/span><\/a><\/p>\n","protected":false},"author":38,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[18],"tags":[],"_links":{"self":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/1465"}],"collection":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/comments?post=1465"}],"version-history":[{"count":4,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/1465\/revisions"}],"predecessor-version":[{"id":3336,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/1465\/revisions\/3336"}],"wp:attachment":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/media?parent=1465"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/categories?post=1465"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/tags?post=1465"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}