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Emotional Tension Index (ETI) is a structural index developed within the broader framework of fiscal information and institutional geometry.
It treats emotion not as a subjective report, but as an externally generated tension field formed by observable events, rule encounters, and institutional interfaces.
ETI operates through arithmetic accumulation (ETI-A), geometric distribution (ETI-G), and their divergence (ETI-D), applying the same event–field logic used in fiscal and institutional analysis to emotional domains.
ASLTP (Affect–Surface–Label–Transform–Present) is referenced here as an applied pedagogical structure used to demonstrate how embodied emotional learning can be translated into observable events. It functions as an external teaching framework rather than a measurement model. Readers interested in the full theoretical integration can refer to the accompanying paper via the link below.
Read the paper on SSRN: https://ssrn.com/abstract=5866903 👉
ASLTP is a circular pedagogical framework for working with emotion in learning contexts.
ASLTP operates as a continuous learning loop, moving from felt affect to observable surface expression, shared language, transformation for learning, and presentable outcomes.
The framework is developed as a pedagogical sub-structure within the Emotional Tension Index (ETI), where emotion is treated as an event-generated field shaped by encounters and institutional contexts.
ASLTP functions as a pedagogical scaffold, not a measurement or diagnostic model, and is not intended for clinical, therapeutic, or psychological treatment use.
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