Beyond the Brand: Utilizing the "Dud Index" for Academic Impact.
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| Title: | Beyond the Brand: Utilizing the "Dud Index" for Academic Impact. |
|---|---|
| Authors: | Bell, Reginald L.1 |
| Source: | Journal of Higher Education Theory & Practice. 2026, Vol. 26 Issue 2, p1-18. 18p. |
| Subject Terms: | False positive error, Research evaluation, Periodical articles, Gemini (Chatbot), Language models |
| Abstract: | Google Gemini is a modern large language model (LLM) that has quickly become a "super tool for superusers.' Similar to garbage in, garbage out (GIGO) in statistics, in the hands of an expert user, Gemini is a tool indissoluble with speed and accuracy of answering important research questions. Knowing how to frame expert questions to prompt the LLM is essential. I ended up asking Gemini nine carefully crafted questions that evolved as Gemini answered each of my previous questions, respectively. By the time question #9 was answered, a "Dud Index' had been firmly established and justified. With the use of Gemini, I was able to developed a utility threshold to identify where journal "prestige' masks a lack of "utility.' This helps identify Type 1 Errors (False Positives: High rank but low impact) and Type 2 Errors (False Negatives: Low rank but high impact. Facts support the claim there is a Type 1 Error (Prestige Trap): ABDC Rank is A/A*, but the Dud Index is > 35%. Facts support a Type 2 Error (Hidden Gem): ABDC Rank is B/C, but the Dud Index is < 15%. Implications for business school deans and tenure review committees are critical and discussed regarding academic impact policies that inadvertently hurt faculty. [ABSTRACT FROM AUTHOR] |
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| Database: | Education Research Complete |
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