In fairness to LAC, I recognize that their problems are rooted in chronic underfunding. That and a succession of governments measuring their success with inappropriate metrics. While wishing that management had made different choices under the pressure of inadequate financing, I also wish they were not forced to choose between outreach and basic archival services.
Sara Wilmshurst First off, I’d like to bless the Internet Archive for preserving human folly. The paper under review today has been scrubbed from its original home but lives on in infamy through the Wayback Machine. I am speaking of “On the Challenges of Dating and Marriage in the New Generations,” published under the name of Benyamin Gohjogh. It made… Read more »
It is as if LAC had shoveled its digitized material out into a virtual dumpster and invited researchers to dive in. There are indeed treasures to be found here, but systematic research is out of the question.
The problem I have with these claims is that they often ignore the good work of historians who have taken a different perspective.
It was only after winning the prize that I fully grasped that I had pushed The Dawn out of the shadows of history, and into the forefront of discussions about Black Canadian newspapers, Black contributions to Canadian history, and Canada’s media history. I had awoken an entire field that I didn’t even know existed.
Jim Clifford In the lead-up to my take-home exam last April, I was trying to think of questions ChatGPT could not answer. I hoped that by focusing on details from my lectures that are not available on Wikipedia and other similar online sources, the large language model would fail to provide a strong answer. I was dead wrong:
You have probably heard about OpenAI’s ChatGPT, Microsoft’s Bing Chat or Google’s Bard. They are all based on Large Language Model (LLM) architectures that produce human-like text from user prompts. LLMs are not new, but they seem to have recently crossed a virtual threshold. Suddenly, artificial intelligence—or AI for short—is everywhere. While it is true that they sometimes “hallucinate,” producing factual errors and quirky responses, the accuracy and reliability of LLMs is improving exponentially. There is no escaping it: generative AI like ChatGPT is the future of information processing and analysis, and it will change the teaching and practice of history. Although some of its effects can be felt already, its long-term implications are not as clear.
By Andrew Nurse On April 26, 2022, Harvard University announced “that it will spend $100 million” as part of a plan to address what it’s president called “profoundly immoral” practices in the university’s past.[1] At issue is Harvard’s relationship to slavery, racism and colonialism. Harvard is not the first university to grapple with a deeply problematic past, but its response… Read more »
By Kathleen Villeneuve Translated by Robert Twiss from an original publication in HistoireEngagée.ca On November 25 to 26, 2021 the Université de Montréal hosted the workshop “Settler Colonialism in Quebec: a blind spot of academic research?” Organized by professors Catherine Larochelle and Ollivier Hubert, the aim of the workshop was to survey the state of research in settler colonial studies,… Read more »
By Kathleen Villeneuve Translated by Robert Twiss from an original publication in HistoireEngagée.ca On November 25 to 26, 2021 the Université de Montréal hosted the workshop “Settler Colonialism in Quebec: a blind spot of academic research?” Organized by professors Catherine Larochelle and Ollivier Hubert, the aim of the workshop was to survey the state of research in settler colonial studies,… Read more »
