We explore the feasibility of intermediary-based crosswalking and alignment of K-12 science education standards. With increasing availability of K-12 science, technology, engineering and mathematics (STEM) digital library content, alignment of that content with educational standards is a significant and continuous challenge. Whereas direct, one-to-one alignment of standards is preferable but currently unsustainable in its resource demands, less resource-intensive intermediary-based alignment offers an interesting alternative. But will it work? We present the results from an experiment in which the machine-based Standard Alignment Tool (SAT) —incorporated in the National Science Digital Library (NSDL)— was used to collect over half a million direct alignments between standards from different standard-authoring bodies. These were then used to compute intermediary-based alignments derived from the well-known AAAS Project 2061 Benchmarks and NSES standards. Results show strong variation among authoring bodies in their success to crosswalk with best results for those who modeled their standards on the intermediaries. Results furthermore show a strong inverse relationship between recall and precision when both intermediates where involved in the crosswalking.