User talk:とある白い猫/Archive/2018/10
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Your submission at Articles for creation: Naim Uludoğan has been acceptededit![]() The article has been assessed as Start-Class, which is recorded on the article's talk page. You may like to take a look at the grading scheme to see how you can improve the article. You are more than welcome to continue making quality contributions to Wikipedia. If your account is more than four days old and you have made at least 10 edits you can create articles yourself without posting a request. However, you may continue submitting work to Articles for Creation if you prefer.
Thank you for helping improve Wikipedia! GeoffreyT2000 (talk) 23:19, 13 October 2018 (UTC)Your submission at Articles for creation: Ülkü Uludoğan has been acceptededit![]() The article has been assessed as Start-Class, which is recorded on the article's talk page. You may like to take a look at the grading scheme to see how you can improve the article. You are more than welcome to continue making quality contributions to Wikipedia. If your account is more than four days old and you have made at least 10 edits you can create articles yourself without posting a request. However, you may continue submitting work to Articles for Creation if you prefer.
Thank you for helping improve Wikipedia! GeoffreyT2000 (talk) 23:47, 13 October 2018 (UTC)New AI-Labelling Campaign for Newcomer SessionseditHello, I'm reaching out to you because I saw that you signed up as a labelling volunteer at Wikipedia:Labels/Edit quality. I'm starting a new project that builds on Edit quality, to predict Newcomer quality. That is, to predict the damagingness and goodfaithness of "sessions" (multiple related edits) of users within 1 day of their registration. With this AI trained, we could help automatically distinguish betewen productive and unproductive new users. If you wouldn't mind taking a look at this new labelling campaign and label a few sessions I would be very grateful. In addition if you have any feedback or discover any bugs in the process I would appreciate that too. You can find the project page at Wikipedia:Labels/Newcomer_session_quality or go directly to labels.wmflabs.org/ui/enwiki/ and look for the campaign titled "Newcomer Session quality (2018)". Thanks so much! |