Can't anyone read and understand research articles so easily? Why is that?
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Why English as the Universal Language of Science Is a Problem for Research
Where do most of the researchers and inventors around the world appear today? What is their mother tongue?
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Can't anyone read and understand research articles so easily? Why is that?
2/8
Plagiarism in research articles Should not be. What is Plagiarism?
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In educational contexts, there are differing definitions of plagiarism depending on the institution.
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In educational contexts, there are differing definitions of plagiarism depending on the institution.
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What gets lost when other languages get left out?
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More from Science
I think we have to expand our thinking about the toroidal sphere even more. When looking at maps, I noticed the da Vinci map, from 1514, which uses the Reuleaux Triangle. This triangle is formed from 3 intersecting circles, and is in the center of a trefoil.
The trefoil is the focal point in many gothic structures, repeatedly and prominently shown. It is represented in many ways. ‘Going down the rabbit hole’ now makes sense, if you understand the center point of the ears is the center of the torus, with the rabbit trefoil.
The trefoil can be found within the toroidal field. Here is a fun site, where you can manipulate it yourself. https://t.co/FCMcybuuFC
The wiki page makes it seem like there isn’t much of importance with the Reuleaux Triangle, besides being used for coinage, or some stupid bike. But the Wankel engine is an interesting engine, using this geometric design https://t.co/ayPOgkAqGN
https://t.co/m9EaWwF796
The trefoil is the focal point in many gothic structures, repeatedly and prominently shown. It is represented in many ways. ‘Going down the rabbit hole’ now makes sense, if you understand the center point of the ears is the center of the torus, with the rabbit trefoil.
The trefoil can be found within the toroidal field. Here is a fun site, where you can manipulate it yourself. https://t.co/FCMcybuuFC
The wiki page makes it seem like there isn’t much of importance with the Reuleaux Triangle, besides being used for coinage, or some stupid bike. But the Wankel engine is an interesting engine, using this geometric design https://t.co/ayPOgkAqGN
https://t.co/m9EaWwF796
@mugecevik is an excellent scientist and a responsible professional. She likely read the paper more carefully than most. She grasped some of its strengths and weaknesses that are not apparent from a cursory glance. Below, I will mention a few points some may have missed.
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The paper does NOT evaluate the effect of school closures. Instead it conflates all ‘educational settings' into a single category, which includes universities.
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The paper primarily evaluates data from March and April 2020. The article is not particularly clear about this limitation, but the information can be found in the hefty supplementary material.
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The authors applied four different regression methods (some fancier than others) to the same data. The outcomes of the different regression models are correlated (enough to reach statistical significance), but they vary a lot. (heat map on the right below).
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The effect of individual interventions is extremely difficult to disentangle as the authors stress themselves. There is a very large number of interventions considered and the model was run on 49 countries and 26 US States (and not >200 countries).
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I've recently come across a disinformation around evidence relating to school closures and community transmission that's been platformed prominently. This arises from flawed understanding of the data that underlies this evidence, and the methodologies used in these studies. pic.twitter.com/VM7cVKghgj
— Deepti Gurdasani (@dgurdasani1) February 1, 2021
The paper does NOT evaluate the effect of school closures. Instead it conflates all ‘educational settings' into a single category, which includes universities.
2/
The paper primarily evaluates data from March and April 2020. The article is not particularly clear about this limitation, but the information can be found in the hefty supplementary material.
3/
The authors applied four different regression methods (some fancier than others) to the same data. The outcomes of the different regression models are correlated (enough to reach statistical significance), but they vary a lot. (heat map on the right below).
4/
The effect of individual interventions is extremely difficult to disentangle as the authors stress themselves. There is a very large number of interventions considered and the model was run on 49 countries and 26 US States (and not >200 countries).
5/
What are the classics of the "Science of Science" or "Meta Science"? If you were teaching a class on the subject, what would go in the syllabus?
Here's a (very disorganized and incomplete) handful of suggestions, which I may add to. Suggestions welcome, especially if you've dug into relevant literatures.
1. The already classic "Estimating the reproducibility of
psychological science" from the Open Science Collaboration of @BrianNosek et al. https://t.co/yjGczLZ6Je
(Look at that abstract, wow!)
Many people had pointed out problems with standard statistical methods, going back decades (what are the best refs?). But this paper was a sledgehammer, making it impossible to ignore the question: what, if anything, were we actually learning from all those statistical studies?
2. Dean Keith Simonton's book "Creativity in Science: Chance, Logic, Genius, and Zeitgeist". If an essentially scientometric book could be described as a fun romp through science & creativity, this would be it
Here's a (very disorganized and incomplete) handful of suggestions, which I may add to. Suggestions welcome, especially if you've dug into relevant literatures.
1. The already classic "Estimating the reproducibility of
psychological science" from the Open Science Collaboration of @BrianNosek et al. https://t.co/yjGczLZ6Je
(Look at that abstract, wow!)
Many people had pointed out problems with standard statistical methods, going back decades (what are the best refs?). But this paper was a sledgehammer, making it impossible to ignore the question: what, if anything, were we actually learning from all those statistical studies?
2. Dean Keith Simonton's book "Creativity in Science: Chance, Logic, Genius, and Zeitgeist". If an essentially scientometric book could be described as a fun romp through science & creativity, this would be it
