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Fraudulent Publishing in the Mathematical Sciences

arxiv.org

41–43 of 43 posts

Re: Fraudulent Publishing in the Mathematical Sciences

#41

Things like citation brokers (paid to cite papers), abuse of power, paper mills, and blackmail (pg. 10) is appalling to me. I have to question how we ended up here. Academia seems very focused on results and output, and this is used as a metric to measure a researcher's worth or value. Has this always been an issue in academia, or is this an increasing or new phenomenon? It seems as if there is a widespread need to t…

> Is there a better way to determine the impact of research and to encourage researchers to not feel so pressed to output and boost their citations? Why is it like this today?

It's hard, specially if you have to compare people of different areas (like algebra vs calculus) that have different threshold for what is a paper worthily result and each community has a different size and different length of review time.

Solution 1) Just count the papers! Each one is 1 point. You can finish before lunch.

Solution 2) Add some metrics like citations (that favor big areas and areas that like to add many citations). Add impact index (that has the same problem). How do you count self citations and citation rings?

Solution 3) Cherry pick some good journals, but ensure the classification committee is not just making a list of the journals they publish in. Filter the citations, or add some weight according to the classification.

Solution 4) Give the chair of the department a golden crown and pretend s/he is the queen/king and can do whatever they like. It may work, but there are BDFL and nepotist idiots. Now try scaling it for a country.

Solution 5) RTFA. Nah. It's too hard. Assume you have 5 candidates and they have 5 papers in the last 5 years (or some other arbitrary threshold). You need like two weeks to read a paper, more if it's not in you area, perhaps you can skim it in 1 or 2 days, but it's not easy to have an accurate understanding of how interesting is the result and how much impact it has in the community. (How do you evaluate if it's a interesting new result, or just a hard stupid calculation?) You can distribute the process of reading the papers, but now you have the problem of merging the opinion of different people. (Are your 3/5 stars the same that my 3/5 stars?)

Re: Fraudulent Publishing in the Mathematical Sciences

#42

When I took business 101 in college one of the first things they taught us is that long term, fixed metrics will always become gamified, that both the ones measuring and the ones being measured will replace the real results with the metrics and sacrifice the first for the second. I understand that this is common knowledge in the administrative world. Yet, every single performance metric always becomes ossified as the…

At the level of industries and large groups, the chief answer to your "Why?" is the same sort of reasoning as the old "Nobody ever got fired for buying IBM": Nobody ever got fired for using established performance metrics.

On the individual level, there's another tricky problem, which is that very few individuals could figure out an alternative performance metric that beats the established one, no matter how gamified the established one is.

Re: Fraudulent Publishing in the Mathematical Sciences

#43

Earlier quoted context omitted.

In my time in academia (~20 years) I have seen the demands and competition increase quite significantly, however talking to older researchers the this really started in the 90s the demands to demonstrate measurable outcomes increased dramatically and funding moved to be primarily through competitive grants (compared to significant base funding for researchers previously). The issue is that while previously it was com…

This is interesting. Is there a reason why this started happening in the 90s?

The postwar growth in tertiary education came to an end. Due to demographic shifts the number of students matriculating stopped increasing. As long as the sector was generally growing there were a decent number of opportunities for those who really wanted a career in academia. But when the growth stopped it became a zero-sum game, intensifying competition between colleagues. Win at any cost.
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