Merge branch 'openalex' into staging

content/blog/2023-09-13-openalex-case-study.md

@@ -330,7 +330,7 @@ I truly can't take all the credit for it. I was in a meeting with Jason Priem, a
 
 ### {{< figure src="/img/adam-sq-200.jpg" class="round-figure" alt="Adam Buttrick" >}} Adam Buttrick
 
-I did actually write [a script](https://github.com/ror-community/affiliation-matching-experimental/tree/main/fake_affiliations) to recreate what Justin did, to take the [ROR data dump](https://ror.readme.io/docs/data-dump) and convert it into a set of fake affiliation strings. I don't know if it exactly follows the patterns from the OpenAlex used, but others can use it to do the same thing, if they want. If they're building their own models, they want to supplement, they want to train, they can just pull the ROR data, run it through the script and do that.
+I did actually write [a script](https://github.com/ror-community/affiliation-matching-experimental/tree/main/fake_affiliations) to recreate what Justin did, to take the [ROR data dump](https://ror.readme.io/docs/data-dump) and convert it into a set of fake affiliation strings. I don't know if it exactly follows the patterns that OpenAlex used, but others can use it to do the same thing, if they want. If they're building their own models, they want to supplement, they want to train, they can just pull the ROR data, run it through the script and do that.
 
 I also want to say that it's fantastic that [OpenAlex does all this work open source](https://github.com/ourresearch) so that other people can see it and read it, because I was able to just immediately go through and read all of the code for the institution model, see how it was working, understand it, and read the [white paper](https://docs.google.com/document/d/1ppbKRVtyneWc7Hjpo8TOm57YLGx1C2Oo/edit#heading=h.5w2tb5fcg77r). And that's really fantastic, how much is being given back.