Developing a Continuous, Rather Than Binary, Classification for Measuring STEM Jobs

Ted CARMICHAEL, John STAMPER & John CARNEY
This paper presents our review and synthesis of the literature on STEM classification, and our results for a novel approach towards understanding, categorizing, and tracking STEM attributes in the workplace. We found two deficiencies in the way STEM is traditionally discussed, which we attempt to address in this work. The first is that the key components of STEM tend to be discussed holistically in the literature, rather than discretely as Science, Technology, Education, and Mathematics....
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