The 1911 Revolution, also known as the Xinhai Revolution or Hsinhai Revolution, ended China's last imperial dynasty, the Qing dynasty, and led to the establishment of the Republic of China. The revolution was the culmination of a decade of agitation, revolts, and uprisings. Its success marked the collapse of the Chinese monarchy, the end of over two millennia of imperial rule in China and the 200-year reign of the Qing, and the beginning of China's early republican era.
The Qing had struggled for a long time to reform the government and resist foreign aggression, but the program of reforms after 1900 was opposed by conservatives in the Qing court as too radical and by reformers as too slow. Several factions, including underground anti-Qing groups, revolutionaries in exile, reformers who wanted to save the monarchy by modernizing it, and activists across the country debated how or whether to overthrow the Qing dynasty. The flash-point came on 10 October 1911, with the Wuchang Uprising, an armed rebellion among members of the New Army. Similar revolts then broke out spontaneously around the country, and revolutionaries in all provinces of the country renounced the Qing dynasty. On 1 November 1911, the Qing court appointed Yuan Shikai (leader of the powerful Beiyang Army) as prime minister, and he began negotiations with the revolutionaries.
In Nanjing, revolutionary forces created a provisional coalition government. On 1 January 1912, the National Assembly declared the establishment of the Republic of China, with Sun Yat-sen, leader of the Tongmenghui (United League), as President of the Republic. A brief civil war between the North and the South ended in compromise. Sun would resign in favor of Yuan, who would become President of the new national government, if Yuan could secure the abdication of the Qing emperor. The edict of abdication of the six-year-old Xuantong Emperor, was promulgated on 12 February 1912. Yuan was sworn in as president on 10 March 1912.
In December 1915, Yuan restored the monarchy and proclaimed himself as the Hongxian Emperor, but the move was met with strong opposition from the population and the Army, leading to his abdication in March 1916 and the reinstatement of the Republic. Yuan's failure to consolidate a legitimate central government before his death in June 1916 led to decades of political division and warlordism, including an attempt at imperial restoration of the Qing dynasty.
The revolution is named Xinhai because it occurred in 1911, the year of the Xinhai (辛亥) stem-branch in the sexagenary cycle of the traditional Chinese calendar. The governments of Taiwan and China both consider themselves the legitimate successors to the 1911 Revolution and honor the ideals of the revolution including nationalism, republicanism, modernization of China and national unity. 10 October is the National Day of the Republic of China on Taiwan, and the Anniversary of the 1911 Revolution in the PRC.
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Had a research brainstorming session at work today (social sciences) and the researcher went "using chatGPT to analyze material is a very good idea" and I responded with "no, it really isn't" and proceeded to explain why. The person got pretty defensive over it, saying how they have found it so very helpful.
Pretty sure I can kiss goodbye to a researcher position with them. But such is life.
I'll always hold a great deal of respect for you and your challenge to their bazinga brain.
Then I heard the chatGPT and my brain just went
Braver than the troops, combatting liberalism. I can only hope I'd do the same in your shoes.
At least your name won't be on and indictment when a bridge detonates spontaeniously.
a lot of researchers i know in social sciences seem to think this.
It seems so. I bet it's their bosses/universities telling them to use it to create that financial buzz and none having the time or curiosity to look at what it is that they are signing up for and what it does to their research quality. Or how it actually exploits them too.
I should have mentioned the environmental impact, but then again pretty sure I shot myself in the foot enough by voicing opposition. I did recommend Emily Benders lectures.
I bet the massive pay crunch and time crunch facing a lot of university staff contributes. The idea of an assistant who can do things "instantly" must be very appealing when your department is selling blood plasma to fund the coffee machine.
Speaking of which, and the researchers I've spoken to who actually work with NLP have completely different (anti-hype) attitudes towards chatgpt! The hype is inversely proportional to how much the person understands how NLP works
Agreed, on this I am sure people would actually do better if they knew better. I also think the reasom they don't is very much a feature and not a bug when it comes to academia these days.
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What not reading enough science fiction does to an mf.
I recently had a conversation with an engineering student where the student claimed that chatgpt was very useful and, when I pushed back on grounds that it lies and hallucinates, doubled down that it was absolutely worth the cost of subscription for the paid version which the student alleged lies and hallucinates less.
call them a chuck who cant run ollama.
But i literally don't understand people with this shit, so whatever, its shittier google search if you cant read, but faster that it takes one minute to find something that might be true instead of 10 minutes of definitely true
Pretty much. For me this pro researcher went that it's handy for making summaries quickly despite having "some issues". I kind of gave up at that point.