Metadata
Language & Literacy Graduate Apply Medium
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Metadata

  • Subject

    Language & Literacy

  • Education level

    Graduate

  • Cognitive goals

    Apply

  • Difficulty estimate

    Medium

  • Tags

    corpus linguistics, syntactic variation, academic registers, annotation, statistical modeling, mixed-effects

  • Number of questions

    5

  • Created on

  • Generation source

    Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Assess students' ability to design and execute a corpus-based study comparing syntactic variation across English academic registers (e.g., research articles, lectures, textbooks). Expect tasks on corpus sampling and annotation, feature extraction (constituent/dependency patterns), frequency and collostructional measures, statistical modeling (e.g., mixed-effects), and interpretation of register effects and validity.
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Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.