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Digital Pedagogy in the Humanities Company Profile

Please visit the final version of Digital Pedagogy in the Humanities, where you can read the revised keywords and create your own collections of artifacts.  The official reviewing period for this project has ended, and commenting…

Industry: Education

Segment: Education Publisher

Generated by Kustiq, an AI company intelligence platform for B2B teams. Multi-stage pipeline: AI classification + live web scraping + SMTP-verified contacts + 12-factor rule-based churn engine.

Company profile

Digital Pedagogy in the Humanities

Please visit the final version of Digital Pedagogy in the Humanities, where you can read the revised keywords and create your own collections of artifacts.  The official reviewing period for this project has ended, and commenting…
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AI-verified profile

Please visit the final version of Digital Pedagogy in the Humanities, where you can read the revised keywords and create your own collections of artifacts.  The official reviewing period for this project has ended, and commenting…

AI Classification

EducationEducation Publisher

Digital Pedagogy in the Humanities is a completed open-access publication by the Modern Language Association (MLA) hosted on Humanities Commons, offering a curated collection of 50+ keyword entries with annotated pedagogical artifacts—syllabi, exercises, and lesson plans—for humanities scholars and educators. The project concluded its open peer-review phase and is now published in final form under a Creative Commons BY-NC license.

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Digital Pedagogy in the Humanities is profiled by Kustiq, an AI company intelligence platform for B2B teams. Digital Pedagogy in the Humanities is one of 23 education publisher companies in our Education directory.

How Kustiq built this profile

Hybrid pipeline: deterministic verification + Claude reasoning

  • Live web rendering via Browserless headless Chrome, not a stale cached scrape.
  • Search intelligence via Serper API across {company site, LinkedIn, press, GitHub}.
  • Claude Sonnet 4.6 classifies vertical, segment, and growth signals; never used for facts.
  • 12-factor churn engine produces a deterministic risk score with zero LLM calls at scoring time.
  • SMTP RCPT TO handshake verifies every contact at delivery time on full profiles (paid plan).

Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.

Part of 3,020 AI-profiled B2B companies. Browse the full directory