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The algorithm's hidden layers

Nurturant matrices, quantitative poetry, and the religious ethics of language technology

Bibliographic Data

ID7473662
AuthorsZachary Sheldon (0000-0001-9658-8045, Chicago Illinois USA, corresponding author)
Year2026
Volume36
Issue1
Publication date2026-05-01
Open AccessYes
TypeARTICLE
VenueJournal of Linguistic Anthropology (JOURNAL)
Journal identifiersISSN: 1055-1360 • E-ISSN: 1548-1395
PublisherWiley (PUBLISHER • GB)
DOI10.1111/jola.70042
OpenAlexW7130412929
LanguageEN
References cited34

This paper builds on conversations at the intersection of artificial intelligence research and the linguistic anthropology of religion by exploring a mathematical technique that connects contemporary Large Language Models [LLMs] with the history of Islamicate occult sciences. In both cases, transformation algorithms are used to entextualize linear streams of discourse as geometric embeddings in higher dimensional arrays. Focusing on an algorithmic poem from a nineteenth‐century Palestinian manuscript on the healing magic of midwives, I argue that the entextualization of language in computational space emerged as a ritual practice of self‐transformation. A historical perspective on mathematical dialogues suggests that both older and newer algorithmic language technologies can reengineer selves and societies; but the comparison also exposes the peculiarity of our own assumptions about the opaque, quantified, and gendered language of math. By separating the technical affordances of semiotic transformations from the larger ideological frames into which they are taken up, this paper seeks to model a multilayered method of comparative analysis that can inform future linguistic anthropological studies across diverse contributions to the history of LLMs

Affordance · Dichotomy · Ideology · Intersection (aeronautics · MAGIC (telescope · Perspective (graphical · Semiotics · Digital Humanities and Scholarship · Ethics and Social Impacts of AI · Study and Philosophy of Religion

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