The seventh edition of the Publication Manual of the American Psychological Association isa mature and widely used style system, but it is often a poor default for science, technology,engineering, and mathematics (STEM) manuscripts. This paper develops a critical, disciplinesensitiveanalysis of APA-7 as a format choice for STEM research. The argument is not thatAPA-7 is defective in its intended domains, but that it is commonly mis-specified when usedfor citation-dense, equation-heavy, computational, experimental, or machine-readable scientificcommunication. Four inefficiencies are emphasized: visual clutter from author-date citationclusters; weak alignment with first-appearance reference logic; limited native support for technicalobjects such as equations, algorithms, protocols, code, and executable analyses; and insufficientconnection to the reproducibility, provenance, and metadata infrastructure now expected infrontier science. The paper proposes a replacement model based on a format stack rather thana universal style: discipline-specific article templates, compact numeric citation styles, LaTeXor computational authoring systems, FAIR data and software practices, persistent identifiers,contributor-role metadata, RO-Crate-style research object packaging, JATS XML or equivalentmachine-actionable publication outputs, and a typed crosslinking layer that treats the article asa navigable graph of claims, evidence, methods, artifacts, limitations, and citations. The resultis a practical decision framework for selecting stronger formats in STEM while retaining APA-7only where venue norms or social-scientific rhetorical needs justify it.
Alfredo Sepulveda-Jimenez (Sun,) studied this question.