Senate Bill 1 has caused a handful of changes affecting the daily lives of students at Ohio State. SB 1, a bill that bans diversity, equity and inclusion programming and faculty striking, limits the teaching of controversial subjects and requires course syllabi to be public online, was passed on Mar. 25. SB 1 went into […]
I tried this before but no one seemed bothered. Yet it continues to exasperate! It’s about [not] acknowledging receipt of emails. I don’t expect people to reply immediately but I like to know my communication has arrived and is on the recipient’s system, so
that all being well I should receive a reply in due course. Otherwise I’m left thinking if it hasn’t been received I could be waiting in vain. #acknowledgements #emails #correspondence
With modern technology is an automated reply too much to expect?
I've been in tech for multiple decades, and when I looked at the structure of the JSON and the developer documentation, my eyes glazed over and I bounced off of it. It's worse than "not elegantly designed", it's (in my opinion) kinda slapped together without much thought or testing. This is a thing seems to me to have been a side-project that had some anemic interest for a long time, then became spontaneously exponentially popular on accident (because of a dying bird and a terribly handled forum API), and now it's just sunken cost.
https://www.w3.org/TR/activitystreams-vocabulary/#actor-types : this is a fucking nightmare, and almost all of the decisions here are completely arbitrary. Like, seriously, what the hell is this?
There's also no real reference implementation, so it's almost guaranteed that various apps won't be able to talk to each other without some kind of translation layer (See: Mbin's implementation of a Mastodon-like microblog). Mbin/Lemmy/Mstodon/etc don't even have agreement on how likes, votes, or boosts work. User addresses are also wacky; Is it @[email protected] or server.tld/u/someuser ? Both?
Why is it hard to implement? It's not really a standard, it's a college dorm data-structure fan-fic that wished it was RSS with a like button (and a bunch of other buttons that apparently no one needs or wants, since no one uses them). I'm utterly flabbergasted that the w3 published this. Like, there's literally a section on Spam that just kinda says "figure it out yourself". This is a useless document, which also hilariously contains an entire section of self-congratulation for a "standard" that hand-waves things like how to handle a DOS and doesn't even bother suggesting a method of authentication since their "years of hard work and experience by a number of communities exploring the space of federation on the web" couldn't agree on one.
What could have been done better? Having consensus from a larger group of better developers during the protocol phase (mostly to weed out silly crap that isn't useful, and actually defining - you know - a standard), and some decent time in the oven for server implementations before millions of people flooded into a series of barely connected instances that are running software that isn't really ready for production (many of which are really close, but are hamstrung by this awful protocol).
#Springer #Nature journals formulated the following two principles to acknowledge legitimate #LLM #ChatGTP uses and to avoid #abuse
"First, no LLM tool will be accepted as a credited #author on a #research #paper. That is because any attribution of #authorship carries with it #accountability for the work, and #AI tools cannot take such #responsibility
Second, researchers using LLM tools should document this use in the #methods or #acknowledgements sections"
#Scientometrics: "The number of words in the acknowledgement texts positively correlates with the number of acknowledged funding organizations, universities, individuals and miscellaneous entities".
https://doi.org/10.1007/s11192-022-04554-9
I want to research #Acknowledgements too. Before the Soviet occupation, 🇺🇦 scientists actively thanked each other. Then the communists came n broke everything. Now we are slowly bringing this tradition back, but I lack the historical machine-readable data to prove it.
Analysis of acknowledgments is particularly interesting as acknowledgments may give information not only about funding, but they are also able to reveal hidden contributions to authorship and the researcher’s collaboration patterns, context in which research was conducted, and specific aspects of the academic work. The focus of the present research is the analysis of a large sample of acknowledgement texts indexed in the Web of Science (WoS) Core Collection. Record types “article” and “review” from four different scientific domains, namely social sciences, economics, oceanography and computer science, published from 2014 to 2019 in a scientific journal in English were considered. Six types of acknowledged entities, i.e., funding agency, grant number, individuals, university, corporation and miscellaneous, were extracted from the acknowledgement texts using a named entity recognition tagger and subsequently examined. A general analysis of the acknowledgement texts showed that indexing of funding information in WoS is incomplete. The analysis of the automatically extracted entities revealed differences and distinct patterns in the distribution of acknowledged entities of different types between different scientific domains. A strong association was found between acknowledged entity and scientific domain, and acknowledged entity and entity type. Only negligible correlation was found between the number of citations and the number of acknowledged entities. Generally, the number of words in the acknowledgement texts positively correlates with the number of acknowledged funding organizations, universities, individuals and miscellaneous entities. At the same time, acknowledgement texts with the larger number of sentences have more acknowledged individuals and miscellaneous categories.
Adding Tylenol to #dissertation #acknowledgements
It's always good to read the acknowledgements, because sometimes you find out that three books you read in rapid succession all had the same agent 😄
Tonight I finished A Memory Called Empire, just after reading Upright Women Wanted and shortly after finally getting around to This Is How You Lose the Time War. All of them thanked DongWon Song for being their agent - I noticed the second and smiled, and them laughed out loud when I finished the third.
Props to them as an agent though, I quite enjoyed them all!
Columbus - Feeds
Unholy Ordnance
AlexanderESmith
Nika Mavrody
Prof Felipe Gusmao
KJ
Serhii Nazarovets
Saronik Bosu
Ell