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Working on scraping the Academic Jobs Wiki to see if it can yield more accurate recent job numbers. Here's what I've got so far. Note that all subfields are declining in jobs besides Ethnic Studies.pic.twitter.com/j7O04yMBGl
* Here's a PDF of the 4th figure for better reading: https://www.dropbox.com/s/gcr2ofhsc9bxf5e/Fig4.pdf?dl=0 … * Data generated: https://drive.google.com/file/d/1-4zgztJVXwLbrIBV-6GHIUIB9Ih-p73y/view?usp=sharing … (feel free to edit!) * Code used to generate: https://colab.research.google.com/drive/1RMxK5zT9mTMZUc9EMFWgrB7R_1cmaeY2 … (feel free to copy, edit and re-run)
Disclaimers: Who knows to what extent these trends reflect changes in wiki usage, or changes in the number of jobs. I suspect that rises in 2011-2014 reflects rise in usage of wiki and standardization of formats, but I could be wrong. The data could also be refined more manually.
Lastly, I had to aggregate/standardize some of the subfield names, some of which changed name on the wiki midway through this period. These name changes are reflected here:https://drive.google.com/file/d/1-C0R4K1HfkVjxeamc5ovqn6zsMCT7iNN/view?usp=sharing …
(Update to original October thread: see the numbers for month later, Nov 18, here: https://twitter.com/quadrismegistus/status/1196462662101680128 …)
I would be SO curious about whether there's more work being done on the AJW. I spent some "funemployment" time between my postdoc and my current job trying to ascertain whether jobs rumored to have an "inside candidate" went to an insider (largely no, from what I could tell).
Great work which MLA ought to be doing for us, and which shows starkly how terrible the situation has gotten over the past five years (after being already awful). Stripping out post-docs is helpful, as they mask (as they enable those with tt jobs to disavow) the cliff.
Devastating figures. We really need a lot more of this data analysis. Every generation claims to have had a tough job market, but I'm not sure we've all quite registered the colony collapse of the last few years.
As one example -- Last year, I ran similar data for early/c19 American lit jobs. Grabbed relevant ProQuest dissertations as proxy for number of job seekers. Assuming that most people now apply for 3yrs, I figure the actual TT employment rate for early Am lit hovers around 8%.
I wonder what percentage of tt jobs are filled by people who already have tt positions elsewhere? And how many *new* positions are created by this academic musical chairs?
I just used the History Academic Jobs Wiki to practice a new scraping tool on Thursday with @quinnanya! Inspired to try something similar. 2018 looks like it was a rough year for y'all.
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