讲故事与叙事2012pgbovine.net
《The Ph.D. Grind》：一个博士生的回忆录
The Ph.D Grind: A Ph.D Student Memoir
导读
这是斯坦福博士生 Philip Guo 的读博回忆录，讲做研究、写论文、与导师相处的真实过程。评论区一致称赞其文笔出色、自嘲真诚，让人一口气读完；对写作者来说，它示范了如何用第一人称坦诚叙事，把挫败、迷茫和日常细节写成让人愿意读下去的故事。
可以直接用的写作要点
- 01
用自嘲、不端着的口吻写自己，读者更容易被带入并一路读下去。
- 02
坦诚写出挫败、自我怀疑和能力局限，比只展示成功更能引发共情。
- 03
把“灵光一现、一稿成名”的理想化想象与真实过程对照写出，读者会觉得有用。
- 04
用具体事件（导师催进度、写工具、改代码）承载叙事，避免空谈道理。
HN 评论精选
自嘲、真诚的口吻是让人一口气读完的关键。
没想到我一口气读完了整本，可能是文笔太好，也可能题材本身吸引我。作者非常自谦，把自己说成“普通人”，其实远高于平均水平——这种自嘲反而让人读得下去。
Xcelerate查看英文原文
Wow, I can't believe I just read that whole thing. Maybe it was the excellent writing quality or maybe I just find things like this interesting. As someone who just graduated with a B.S. in chemical engineering and will start work toward my PhD in the fall (also in chemical engineering, but will actually involve a TON of programming), this strikes a chord with me. A few takeaways from the article: -The author does not give himself nearly enough credit. "Self-deprecating" is probably the right term. He considers himself average, but he is far above average. I mean this as a compliment of course. -I think some of those tools he wrote could actually help me with my work (particularly CDE) -- I'll have to go take a look. -I am going to have to learn how to focus, and very quickly. I consider myself very motivated/stubborn but I get distracted so easily that it's ridiculous, and this is not going to work for grad school unless I alter my behavior substantially before I get there. -Before reading his book, I too had the idealized notion of "brilliant idea, years of writing one paper about it". The reality isn't quite as fantastic, but I appreciate learning the truth over belated disillusionment. -Just realized the author is pgbovine -- excellent work! I currently have a completely free summer to do whatever -- would you have any tips on how I should prepare before I get to grad school? I already know which professor I will be working with, so I'm trying to figure out what level of "initiative" I should take before I arrive.
把“不讨喜却必要”的工作写进叙事，自嘲让表达更可信。
我读到没法睡觉、非读完不可。开头我对他的研究目标抱有怀疑，后来却被他的才华和 CDE 这类项目折服。我尤其佩服他：在做“推销”这种对研究者不讨喜却必不可少的工作时，仍保持健康的自嘲。
strlen查看英文原文
[ Short on sleep, so the post may sleep incoherent. Excusing myself from any egregious offenses against the English language ] I read this in its entirety, unable to go to bed before finishing. This is amazing. I'll admit that I started out with skepticism towards Philip's initial research goals. Instead what I found is an application of immense talent , culminating in software projects that are nothing short of amazing. For what it's worth, something like CDE seems like a holy grail in many scenarios. I've spent some time time thinking about distibuted cluster management software (Google's borg, MS auto-pilot, Hadoop YARN) and the problems these system tend to run into when encountering stateful services. Naturally, I'll spend a bit of time reading up CDE after this. As Xcelerate said it's quite obvious that the author is _nowhere_ close to average, even in a top-tier program like Stanford. I also admire is that the author was able to maintain this healthy degree of self-deprecation while still doing the inherently (to a research or developer) distasteful but vital work of selling. Many of my team mates at my current and previous jobs hold PhD. I come from an academic family: my dad was a full professor (e.g., habitulation et al) in our home country, my mom completed her PhD dissertation but wasn't allowed to defend for reasons best answered by a Google search[1]. However, this writeup still shocked me in many ways (the sheer grit and tenacity required on top of extreme mental horsepower). Thank you for sharing this. [1] https://www.google.com/search?q=jews%20in%20soviet%20universities Edit: one _tiny_ suggestion -- pgbovine, I like how you've planned for the book to be accessible to those outside of computer science/software engineering fields (e.g., explaining what device drivers, Python, et al were). That said, I still think there are a few pieces that could be improved in terms of the paper's accessibility to non-CS folks: going into more details into potential sources of bugs (to explain the motivation behind your initial research), the full pain of systems' environment management, etc... You should definitely publish this for a wide audience (at the very least gearing this for students or professionals in all natural sciences and other quantitative fields).
坦率写出挫败与能力局限，是回忆录打动人的地方。
最戳我的是他写导师嫌他实现 Klee 改进太慢，以及“大多数研究生并不比导师聪明”。能跟杰出研究者共事令人兴奋，但认清自己的局限会很打击人。他说大概百里挑一的人才能与导师比肩。
physicslover查看英文原文
The part that hit home for me was his description of the Prof's frustration with the speed at which he was implementing the enhancement to Klee and the fact that most grad students are not as smart as their advisors. Most grad students are exhilarated to work with a brilliant researcher but it can crushing when one learns his or her own limitations. Like the author says, probably 1 in 100 are the equal of their advisor and capable of becoming a professor at a comparable university.
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