File:Wikimania 2023 - Reusing Open Data from various sources to assess gender inequality from street and school eponyms, to researchers and research.webm

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Original file ‎(WebM audio/video file, VP8/Vorbis, length 14 min 7 s, 1,920 × 1,080 pixels, 840 kbps overall, file size: 84.84 MB)

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English: This session is designed to identify the challenges and pathways involved in gender bias analysis, along with presenting proposals to mitigate it. The team acknowledges that leveraging Wikidata and other sources of Open Data is not always straightforward. They have employed this approach to analyze human eponyms in street and school names. Additionally, they have established a robust method for ensuring clean and high-quality data for researchers.
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Source https://www.dropbox.com/sh/s1riijerl7haxr2/AACorHSsnojOhedp44S3OIYoa?dl=0
Author Wikimania

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Date/TimeThumbnailDimensionsUserComment
current18:33, 5 September 202314 min 7 s, 1,920 × 1,080 (84.84 MB)Mwintirew (talk | contribs)Uploaded a work by Wikimania from https://www.dropbox.com/sh/s1riijerl7haxr2/AACorHSsnojOhedp44S3OIYoa?dl=0 with UploadWizard

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Format Bitrate Download Status Encode time
VP9 1080P 609 kbps Completed 18:52, 5 September 2023 18 min 54 s
Streaming 1080p (VP9) Not ready Unknown status
VP9 720P 327 kbps Completed 18:49, 5 September 2023 15 min 45 s
Streaming 720p (VP9) Not ready Unknown status
VP9 480P 210 kbps Completed 18:48, 5 September 2023 11 min 48 s
Streaming 480p (VP9) Not ready Unknown status
VP9 360P 157 kbps Completed 18:40, 5 September 2023 5 min 18 s
Streaming 360p (VP9) Not ready Unknown status
VP9 240P 124 kbps Completed 18:37, 5 September 2023 4 min 20 s
Streaming 240p (VP9) 46 kbps Completed 04:05, 6 December 2023 2.0 s
WebM 360P 275 kbps Completed 18:41, 5 September 2023 4 min 45 s
Streaming 144p (MJPEG) 835 kbps Completed 12:03, 19 November 2023 39 s
Stereo (Opus) 79 kbps Completed 10:43, 24 November 2023 13 s
Stereo (MP3) 128 kbps Completed 12:03, 19 November 2023 19 s

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