1) The academic world in which your PhD advisors lived is gone: academic jobs are no longer abundant and well payed. Their intuitions about what you should do to be successful are likely unreliable.
2A) The moral injury involved in an academic career is real (100% agree w @ProfPaulRalph). The consumerist model of education, the instrumentalization of knowledge, etc. (all borne out of economic uncertainty for young adults) have undermined our ability to educate.
2B) The inflation of standards for what success means, the declining success rates for prestigious grants, have made research cut-throat and less satisfying.
3) Almost 3 years in, I am still confused by software engineering research. Lots of it is R&D, most of it seems to be about displaying cool data / builds, very little seems cumulative.
4) Ralph's razor: ‘Never attribute to ignorance what can be explained by self-interest.’
Oh boy have I suffered from this. I was so naïve and idealistic. The self-interest, couched in niceties, conflict avoidance, and gaslighting are endemic. Plus...
"the fights are so bitter because the stakes are so low." Academics now fight over crumbs, which pits them AGAINST one-another rather than gets them pulling in the same direction.
We can't and don't truly celebrate success, because we often feel it has been at our expense.
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.@mededdoc wondered: If findings are interpreted in the eponymous section, what comes in the discussion of a qual constructionist/constructivist paper?
First, discuss your findings at a very high level. What are the core things you want your reader to remember from your findings section? If you can use a table to summarize your contributions to highlight them: do!
Mini thread on writing the results section of a qual research paper. I will limit my comments to people writing within constructivist or constructionist paradigms.
First, accept that you are analyzing and interpreting the data. You are writing the piece, and therefore you should be in the paper. I prefer the first person (plural or singular, depending on whether you are writing in a team or alone, respectively).
2/10
Second, accept that your data do not speak for themselves. You are interpreting them for your reader both during data analysis and while writing. That means that you have to do three things.