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Serhii Nazarovets

A brilliant new paper in #ResearchEvaluation 📄 compares how the UK, Norway, and Poland implemented research impact assessment - with very different results:

🇬🇧 UK built infrastructure, #REF became a strategic tool.
🇳🇴 Norway took a soft, formative approach.
🇵🇱 Poland copy-pasted, spent big - got confusion, “point-chasing” and no culture shift.

:doi: doi.org/10.1093/reseval/rvaf01

🇺🇦 A lesson Ukraine risks ignoring again.

#ImpactAssessment#SciencePolicy#ResearchImpact
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petersuber

Update. Here's an unrefereed letter to the editor leaving the false impression that the UK #REF requires researchers to publish in #APC-based #OpenAccess journals. (It doesn't require publishing in OA journals; authors may choose #GreenOA instead; and when they do choose to publish in OA journals, they are free to choose no-APC or #DiamondOA journals.)
nature.com/articles/s41415-025

NatureOpen access and peer review - why do I have to pay twice? - British Dental Journal
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petersuber

Update. This study compared #ChatGPT assessments to human #REF reviews. "Although other explanations are possible, esp because REF score profiles are public, the results suggest that #LLMs can provide reasonable research quality estimates in most areas of science and particularly the physical and health sciences…even before citation data is available…[Note that] the ChatGPT scores are only based on titles and abstracts, so cannot be research evaluations."
arxiv.org/abs/2409.16695

arXiv.orgIn which fields can ChatGPT detect journal article quality? An evaluation of REF2021 resultsTime spent by academics on research quality assessment might be reduced if automated approaches can help. Whilst citation-based indicators have been extensively developed and evaluated for this, they have substantial limitations and Large Language Models (LLMs) like ChatGPT provide an alternative approach. This article assesses whether ChatGPT 4o-mini can be used to estimate the quality of journal articles across academia. It samples up to 200 articles from all 34 Units of Assessment (UoAs) in the UK's Research Excellence Framework (REF) 2021, comparing ChatGPT scores with departmental average scores. There was an almost universally positive Spearman correlation between ChatGPT scores and departmental averages, varying between 0.08 (Philosophy) and 0.78 (Psychology, Psychiatry and Neuroscience), except for Clinical Medicine (rho=-0.12). Although other explanations are possible, especially because REF score profiles are public, the results suggest that LLMs can provide reasonable research quality estimates in most areas of science, and particularly the physical and health sciences and engineering, even before citation data is available. Nevertheless, ChatGPT assessments seem to be more positive for most health and physical sciences than for other fields, a concern for multidisciplinary assessments, and the ChatGPT scores are only based on titles and abstracts, so cannot be research evaluations.
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petersuber

Update. These researchers built an #AI system to predict #REF #assessment scores from a range of data points, inc #citation rates. For individual works, the system was not very accurate. But for total institutional scores, it was 99.8%. "Despite this, we are not recommending this solution because in our judgement, its benefits are marginally outweighed by the perverse incentive it would generate for institutions to overvalue journal impact factors."
blogs.lse.ac.uk/impactofsocial

Impact of Social Sciences · Can artificial intelligence assess the quality of academic journal articles in the next REF?In this blog post Mike Thelwall, Kayvan Kousha, Paul Wilson, Mahshid Abdoli, Meiko Makita, Emma Stuart and Jonathan Levitt discuss the results of a recent project for UKRI that made recommendations…
#DORA#JIFs#Metrics
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Chrysanthos

Fursona: Chrysanthos

A redesign of my fursona Chrysanthos with a ref sheet edit.

Some changes from the original design include new muscular definition, olfactory sense, dorsal fin markings, new phenotypes and updated clothes.

Drawn by Tokuya.

Chrysanthos is an anthropomorphic hourglass dolphin. They are non-binary but typically masc in appearance with slightly softer features and wider hips. Recently they have taken to new training regiments that in conjunction with some biotech enhancements has added more muscle mass and definition than is typical. The enhancements have also provided Chrysanthos with drug-glands and a kind of "sex switch" that has allowed them to explore new modes of being.

Highly intelligent, though not always wise. Chrysanthos is smart enough to get into things but not always to get out of them. Relies on luck and even charm more than cunning despite what they tell themselves. In fact there has been more than a few "thembo moments" that has led to escalations which could have been avoided.

Hailing the city of Atlantis which has been thrown outside of space and time. Chrysanthos works for an organization called the Ab Aeterno (From Forever). There they are tasked with travelling through time and performing certain actions and interventions on behalf of Ab Aeterno. They believe this is to maintain a given timeline, or certain events required, though much is left unknown to Chrysanthos and other agents.

Most of the denizens of Atlantis are either other cetaceans, both smaller and those more physically imposing than Chrysanthos. For this reason most encounters Chrysanthos has with other species is via those excursions outside of Atlantis.

Being from an advanced civilization, Chrysanthos has access to technology that borders on magical. Two common examples include:

Adjunct, a bracelet or watch-like copper-like device that is in effect a souped up "smart watch" able to communicate across space and time. It can summon tiny robotic workers that nanofabricate almost anything non-orichalcum based.

Halo, an orichalcum "hairband" that is worn a little like a crown for cetaceans. It can quickly create a fully-sealed body suit over the wearer and provides limited power-suit level support.

#dolphin#dolphintail#hourglassdolphin
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24😷-185

Dans Calc, la référence à une case d’une autre feuille s’écrit FEUILLE.CELLULE.

Dans #Excel, c’est 'FEUILLE'!CELLULE.

Quand on utilise INDIRECT pour référencer ces cellules, la compatibilité en pâtit entre les deux logiciels.

Devinez qui est passé pour une endive devant un supérieur quand il a présenté ses tableaux Excel avec plein d’erreurs #REF! parce qu’il n’avait que Calc sur son poste de travail ? 👍

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