bibliolater , to politicalscience group
@bibliolater@qoto.org avatar

"Because a growing share of Americans hold highly unfavourable views of big corporations, we argue that the belief that large firms win from trade will provoke hostility towards trade and globalization. To test this theory, we show experimentally that informing people that large corporations benefit from trade makes them markedly more hostile towards trade compared to a treatment emphasizing that firms in exporting industries benefit."

Menon, A. and Osgood, I. (2024) ‘The Wrong Winners: Anti-Corporate Animus and Attitudes Towards Trade’, British Journal of Political Science, pp. 1–18. doi: https://doi.org/10.1017/S0007123424000152.

@politicalscience

bibliolater , to histodon group
@bibliolater@qoto.org avatar

"Focusing on classical philologists and biblical scholars in nineteenth-century Germany, it examines how Hyperkritik developed from a technical philological term into a pejorative label that was widely invoked to discredit the latest trends in classical philology and, especially, biblical scholarship."

Paul, H. (2024) ‘Hypercriticism: A Case Study in the Rhetoric of Vice’, Modern Intellectual History, pp. 1–25. doi: https://doi.org/10.1017/S1479244324000155.

@histodon @histodons

bibliolater , to histodon group
@bibliolater@qoto.org avatar

Found at last: long-lost branch of the Nile that ran by the pyramids

"The highest concentration of pyramids in Egypt can be found in a stretch of desert between Giza and the village of Lisht. These sites are now several dozens of kilometres away from the Nile River. But Egyptologists have long suspected that the Nile might once have been closer to that stretch than it is today.

Satellite images and geological data now confirm that a tributary of the Nile — which researchers have named the Ahramat Branch — used to run near many of the major sites in the region several thousand years ago."

https://doi.org/10.1038/d41586-024-01449-y

@archaeodons @histodon @histodons

bibliolater , to histodon group
@bibliolater@qoto.org avatar

Found at last: long-lost branch of the Nile that ran by the pyramids

“The highest concentration of pyramids in Egypt can be found in a stretch of desert between Giza and the village of Lisht. These sites are now several dozens of kilometres away from the Nile River. But Egyptologists have long suspected that the Nile might once have been closer to that stretch than it is today.

Satellite images and geological data now confirm that a tributary of the Nile — which researchers have named the Ahramat Branch — used to run near many of the major sites in the region several thousand years ago.”

https://doi.org/10.1038/d41586-024-01449-y

@archaeodons @histodon @histodons

bibliolater , to Archaeodons group
@bibliolater@qoto.org avatar

"After a thorough examination, we may conclude that the item’s amateurish preparation and local origin are suggestive of a scribal exercise. The use of an available mould that was not suitable for a tablet, the child’s fingerprint on the reverse and the corrected mistakes in the script all point to an inexperienced scribe."

Fossé, C. et al. (2024) ‘Archaeo-Material Study of the Cuneiform Tablet from Tel Beth-Shemesh’, Tel Aviv, 51(1), pp. 3–17. doi: https://doi.org/10.1080/03344355.2024.2327796.

@archaeodons @antiquidons

bibliolater , to Archaeodons group
@bibliolater@qoto.org avatar

“After a thorough examination, we may conclude that the item’s amateurish preparation and local origin are suggestive of a scribal exercise. The use of an available mould that was not suitable for a tablet, the child’s fingerprint on the reverse and the corrected mistakes in the script all point to an inexperienced scribe.”

Fossé, C. et al. (2024) ‘Archaeo-Material Study of the Cuneiform Tablet from Tel Beth-Shemesh’, Tel Aviv, 51(1), pp. 3–17. doi: https://doi.org/10.1080/03344355.2024.2327796.

@archaeodons @antiquidons

bibliolater , to linguistics group
@bibliolater@qoto.org avatar

“Four factors are found to be significant predictors of the position of primary stress: endings, word complexity, the segmental structure of the final syllable, and syllable count. Moreover, this study confirms previous observations on the tendency for American English to have more final stress in French loanwords than British English.”

Dabouis, Q. and Fournier, P. (2024) ‘Stress in French loanwords in British and American English’, Journal of Linguistics, pp. 1–26. doi: https://doi.org/10.1017/S0022226724000136.

@linguistics

bibliolater , to science group
@bibliolater@qoto.org avatar

"A Bayesian analysis showed that participants had high expectations and performed descriptively better irrespective of the AI description when a sham-AI was present. Using cognitive modeling, we could trace this advantage back to participants gathering more information."

Agnes Mercedes Kloft, Robin Welsch, Thomas Kosch, and Steeven Villa. 2024. "AI enhances our performance, I have no doubt this one will do the same": The Placebo effect is robust to negative descriptions of AI. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 299, 1–24. https://doi.org/10.1145/3613904.3642633

@science @technology

attribution: Madhav-Malhotra-003, CC0, via Wikimedia Commons. Page URL: https://commons.wikimedia.org/wiki/File:Artificial_Intelligence_Word_Cloud.png

bibliolater , to science group
@bibliolater@qoto.org avatar

"A Bayesian analysis showed that participants had high expectations and performed descriptively better irrespective of the AI description when a sham-AI was present. Using cognitive modeling, we could trace this advantage back to participants gathering more information."

Agnes Mercedes Kloft, Robin Welsch, Thomas Kosch, and Steeven Villa. 2024. "AI enhances our performance, I have no doubt this one will do the same": The Placebo effect is robust to negative descriptions of AI. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 299, 1–24. https://doi.org/10.1145/3613904.3642633

@science @technology

attribution: Madhav-Malhotra-003, CC0, via Wikimedia Commons. Page URL: https://commons.wikimedia.org/wiki/File:Artificial_Intelligence_Word_Cloud.png

bibliolater , to science group
@bibliolater@qoto.org avatar

"A Bayesian analysis showed that participants had high expectations and performed descriptively better irrespective of the AI description when a sham-AI was present. Using cognitive modeling, we could trace this advantage back to participants gathering more information."

Agnes Mercedes Kloft, Robin Welsch, Thomas Kosch, and Steeven Villa. 2024. "AI enhances our performance, I have no doubt this one will do the same": The Placebo effect is robust to negative descriptions of AI. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 299, 1–24. https://doi.org/10.1145/3613904.3642633

@science @technology

attribution: Madhav-Malhotra-003, CC0, via Wikimedia Commons. Page URL: https://commons.wikimedia.org/wiki/File:Artificial_Intelligence_Word_Cloud.png

bibliolater , to science group
@bibliolater@qoto.org avatar

"A Bayesian analysis showed that participants had high expectations and performed descriptively better irrespective of the AI description when a sham-AI was present. Using cognitive modeling, we could trace this advantage back to participants gathering more information."

Agnes Mercedes Kloft, Robin Welsch, Thomas Kosch, and Steeven Villa. 2024. "AI enhances our performance, I have no doubt this one will do the same": The Placebo effect is robust to negative descriptions of AI. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 299, 1–24. https://doi.org/10.1145/3613904.3642633

@science @technology

attribution: Madhav-Malhotra-003, CC0, via Wikimedia Commons. Page URL: https://commons.wikimedia.org/wiki/File:Artificial_Intelligence_Word_Cloud.png

bibliolater , to politicalscience group
@bibliolater@qoto.org avatar

“I analyze Machiavelli’s frequent references to hope throughout his corpus to offer an explanation of what he means by ‘hope,” examine the relation between hope and fear, and identify the benefits, dangers, and limits of these two foundational and complementary passions.”

Mitchell, C.E. (2024) ‘Beyond the Politics of Fear: Machiavelli on Hope’, The Review of Politics, pp. 1–23. doi: https://doi.org/10.1017/S0034670524000019.

@politicalscience

attribution: Peace Palace Library, Public domain, via Wikimedia Commons. Page URL: https://commons.wikimedia.org/wiki/File:Niccol%C3%B2-Machiavelli-Amelot-de-La-Houssaie-Il-principe_MG_1089.tif

bibliolater , to science group
@bibliolater@qoto.org avatar

AI deception: A survey of examples, risks, and potential solutions

"Large language models and other AI systems have already learned, from their training, the ability to deceive via techniques such as manipulation, sycophancy, and cheating the safety test. AI’s increasing capabilities at deception pose serious risks, ranging from short-term risks, such as fraud and election tampering, to long-term risks, such as losing control of AI systems."

DOI: https://doi.org/10.1016/j.patter.2024.100988

@science

bibliolater , to science group
@bibliolater@qoto.org avatar

AI deception: A survey of examples, risks, and potential solutions

"Large language models and other AI systems have already learned, from their training, the ability to deceive via techniques such as manipulation, sycophancy, and cheating the safety test. AI’s increasing capabilities at deception pose serious risks, ranging from short-term risks, such as fraud and election tampering, to long-term risks, such as losing control of AI systems."

DOI: https://doi.org/10.1016/j.patter.2024.100988

@science

attribution: Madhav-Malhotra-003, CC0, via Wikimedia Commons. Page URL: https://commons.wikimedia.org/wiki/File:Artificial_Intelligence_Word_Cloud.png

bibliolater , to science group
@bibliolater@qoto.org avatar
AI deception: A survey of examples, risks, and potential solutions

Large language models and other AI systems have already learned, from their training, the ability to deceive via techniques such as manipulation, sycophancy, and cheating the safety test. AI’s increasing capabilities at deception pose serious risks, ranging from short-term risks, such as fraud and election tampering, to long-term risks, such as losing control of AI systems.

DOI: https://doi.org/10.1016/j.patter.2024.100988

@science

attribution: Madhav-Malhotra-003, CC0, via Wikimedia Commons. Page URL: https://commons.wikimedia.org/wiki/File:Artificial_Intelligence_Word_Cloud.png

bibliolater , to science group
@bibliolater@qoto.org avatar
AI deception: A survey of examples, risks, and potential solutions

Large language models and other AI systems have already learned, from their training, the ability to deceive via techniques such as manipulation, sycophancy, and cheating the safety test. AI’s increasing capabilities at deception pose serious risks, ranging from short-term risks, such as fraud and election tampering, to long-term risks, such as losing control of AI systems.

DOI: https://doi.org/10.1016/j.patter.2024.100988

@science

bibliolater , to science group
@bibliolater@qoto.org avatar
AI deception: A survey of examples, risks, and potential solutions

"Large language models and other AI systems have already learned, from their training, the ability to deceive via techniques such as manipulation, sycophancy, and cheating the safety test. AI’s increasing capabilities at deception pose serious risks, ranging from short-term risks, such as fraud and election tampering, to long-term risks, such as losing control of AI systems."

DOI: https://doi.org/10.1016/j.patter.2024.100988

@science

bibliolater , to science group
@bibliolater@qoto.org avatar
AI deception: A survey of examples, risks, and potential solutions

"Large language models and other AI systems have already learned, from their training, the ability to deceive via techniques such as manipulation, sycophancy, and cheating the safety test. AI’s increasing capabilities at deception pose serious risks, ranging from short-term risks, such as fraud and election tampering, to long-term risks, such as losing control of AI systems."

DOI: https://doi.org/10.1016/j.patter.2024.100988

@science

bibliolater , to philosophy group
@bibliolater@qoto.org avatar

"Byzantine diagrams are originated by Byzantine scholars in the early modern period to use as tools for teaching and studying Aristotelian logic. This paper presents pioneering work on employing Byzantine diagrams for checking syllogistic validity through reduction."

Bhattacharjee, R. (2024) ‘Direct Reduction of Syllogisms with Byzantine Diagrams’, History and Philosophy of Logic, pp. 1–22. doi: https://doi.org/10.1080/01445340.2024.2336411.

@earlymodern @philosophy

bibliolater , to histodon group
@bibliolater@qoto.org avatar

"This paper studies the constitutive role of cartography apropos law, territory, and social order, in a specific historical context, by examining the crucial political role played by the British East India Company's cartographic practices and maps in aspiring and imagining the transplantation and establishment of English sovereignty in the Indian subcontinent."

Suresh, S. (2024) ‘The Cartojuridism of the British East India Company’, Law and History Review, pp. 1–30. doi: https://doi.org/10.1017/S0738248024000051.

@histodon @histodons @earlymodern

bibliolater , to science group
@bibliolater@qoto.org avatar

"...our data suggested that the Japanese population could be best modeled by admixtures of three ancestral components (hereafter K1 to K3). K1 to K3 were the highest in Okinawa, Northeast, and West, respectively (Fig. 1D and table S4). K1 (Okinawa) component maintains a relatively stable fraction of around 12% in Hondo subgroups, except for South (which is a region adjacent to Okinawa), with a higher proportion of 22%. K2 (Northeast) and K3 (West) components showed a cline from West to East."

Xiaoxi Liu et al., Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing. Sci. Adv. 10, eadi8419 (2024). DOI: https://www.doi.org/10.1126/sciadv.adi8419

@science

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  • bibliolater , to politicalscience group
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    🇬🇧 🇪🇺 "Our results show that individuals who lacked wealth are less likely to support leaving the EU, explaining why so many Brexit voters were wealthy, in terms of their property wealth."

    Green, J. and Pahontu, R.L. (2024) ‘Mind the Gap: Why Wealthy Voters Support Brexit’, British Journal of Political Science, pp. 1–21. doi: https://doi.org/10.1017/S0007123423000728.

    @politicalscience

    attribution: TeroVesalainen, CC0, via Wikimedia Commons. Page URL: https://commons.wikimedia.org/wiki/File:Union_jack_and_eu_brexit.jpg

    bibliolater , to politicalscience group
    @bibliolater@qoto.org avatar

    🇬🇧 🇪🇺 "Our results show that individuals who lacked wealth are less likely to support leaving the EU, explaining why so many Brexit voters were wealthy, in terms of their property wealth."

    Green, J. and Pahontu, R.L. (2024) ‘Mind the Gap: Why Wealthy Voters Support Brexit’, British Journal of Political Science, pp. 1–21. doi: https://doi.org/10.1017/S0007123423000728.

    @politicalscience

    attribution: TeroVesalainen, CC0, via Wikimedia Commons. Page URL: https://commons.wikimedia.org/wiki/File:Union_jack_and_eu_brexit.jpg

    bibliolater , to science group
    @bibliolater@qoto.org avatar

    "Even though it was hoped that machines might overcome human bias, this assumption often fails due to a problematic or theoretically implausible selection of variables that are fed into the model and because of small size, low representativeness, and presence of bias in the training data [5.]."

    Suchotzki, K. and Gamer, M. (2024) 'Detecting deception with artificial intelligence: promises and perils,' Trends in Cognitive Sciences [Preprint]. https://doi.org/10.1016/j.tics.2024.04.002.

    @science @psychology

    attribution: Madhav-Malhotra-003, CC0, via Wikimedia Commons. Page URL: https://commons.wikimedia.org/wiki/File:Artificial_Intelligence_Word_Cloud.png

    bibliolater , to science group
    @bibliolater@qoto.org avatar

    "While ChatGPT-4 correlates closely with established risk stratification tools regarding mean scores, its inconsistency when presented with identical patient data on separate occasions raises concerns about its reliability."

    Heston TF, Lewis LM (2024) ChatGPT provides inconsistent risk-stratification of patients with atraumatic chest pain. PLOS ONE 19(4): e0301854. https://doi.org/10.1371/journal.pone.0301854

    @science

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