Scholarly Project is your map to the frontier of research, the story behind the science, and the changing face of higher education. In each episode, we dissect indispensable publications, showcase key scholars, and explore new academic territories—from foundational studies to changing QS rankings.
Scholarly Project
Claim This Podcastby Shijie Wang
2 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇨🇳
38
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality77
Social0
YouTube0
Engagement0
Podcast Overview
Scholarly Project is your map to the frontier of research, the story behind the science, and the changing face of higher education. In each episode, we dissect indispensable publications, showcase key scholars, and explore new academic territories—from foundational studies to changing QS rankings.
Language
🇺🇲
Publishing Since
1/18/2025
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38
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality77
Social0
YouTube0
Engagement0
8
Excellent Areas
0
Good Performance
11
Growth Opportunities
excellent
Publishing Consistency
Every 0 days
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poor
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Recent Episodes
January 18, 2025
A Complete Guide to Chinese Tea
<p>We provide a comprehensive overview of Chinese tea. It details the history and cultural significance of tea in China, explores the six main categories of Chinese tea (white, green, yellow, oolong, black, and Puerh), describes popular varieties within each category, offers brewing tips, and examines Chinese tea culture, including ceremonies and etiquette. The guide also promotes Australian Tea Masters' tea courses and related resources. Finally, it suggests further reading on the subject.</p>
January 18, 2025
AI Detectors' Bias Against Non-Native English Speakers
<p> Multiple sources examine bias in AI detection programs and AI-driven recruitment tools. A Stanford study reveals that AI detectors incorrectly flag non-native English writing as AI-generated, raising ethical concerns about academic and professional applications. Further research confirms this bias and highlights the potential for discrimination against non-native speakers in various contexts. A separate review article investigates algorithmic bias in AI recruitment, exploring its origins in biased datasets and algorithm design, and proposing technical and managerial solutions to mitigate discrimination.</p>
2 total episodes available
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Frequently asked questions
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- What is Scholarly Project?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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