5 Matching Annotations
  1. Last 7 days
    1. it took nine years for the company to build a cluster of chip manufacturing facilities in Yongjin within the Seoul metropolitan area.

      这是一个反直觉的关键背景信息。尽管政府规划了五年内DRAM产量翻倍的宏伟目标,但业界高管指出过去建设一个芯片集群就花了九年。这暗示政府的政治时间表与产业实际落地周期之间存在严重脱节,产能缓解可能遥遥无期。

  2. Jun 2025
  3. Oct 2022
  4. Jun 2022
    1. The major issue with much of the data that can be downloaded from web portals or through APIs is that they come without context or metadata. If you are lucky you might get a paragraph about where the data are from or a data dictionary that describes what each column in a particular spreadsheet means. But more often than not, you get something that looks like figure 6.3.

      I think that the reason behind data's lack of context is the reluctance in making extra column for data's description and the inconsiderate and misleading vision that those in technologies hold when they put forth that data should be clean and concise.

      I encountered the insufficient provision of data multiple times and I found it extremely inconvenient when trying to use downloaded online reports and attached them to my work experiences as a way to illustrate the efficient changes in driving audiences for a social media platform (Facebook). I used to help run an facebook page for a student organization. After being done with the role, I went to the "Insights" section of Facebook, hoping to download the report of increases in Page Likes, Visits, and Interactions during the period that I was an admin of the page. It took me several glitches to download the report (because it was a year-long term). When the pdf file was ready to be viewed, I was surprised, because they did not mention the years I was working, the name of the student organization, and other categorizations that should have been highlighted. Apparently, it's not hard to include the years or even the name because they were included in the filter when I wanted to extract certain part of the report and because it was the source where they took the data from, respectively. This laziness in showing competent data for analysis was desperate, and I had to add extra analysis to it. Even after I finished with the "extra work", I started to question to validity of the report I was downloading. Would it be trustworthy anymore, because without my clarification, no analysis could be made even by a person involved in data science field. Even if they could, it would take them a while to collect other external information before making clear of the data presented to them.

      Understanding and constantly being bothered by this ongoing problem gives me justification to call for a more thorough data translation and presentation process. More questions should be raised and answered regarding what might a user wonder about this dataset when encountering it.

  5. Mar 2019
    1. Given that engagement and integration(i.e., involvement in the various social and academic ac-tivities of university/college life) are considered key tosuccessful academic achievement (see Tinto2006), theidentifying features of social anxiety, including fear ofnegative evaluation and distress and avoidance of new orall social situations (Ginsburg et al.1998), may be espe-cially disadvantageous in the social and evaluative contexts

      The author provides context for the problem to be clearly understood by the readers and those who do not have any sort of background information concerning the topic