Homeostasis Under Technological Transition: How High-Friction Universities Adapt Through Early Filtering Rather Than Reconfiguration

Fuente: arXiv
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Main Author: Paz, H. R.
Format: Preprint
Published: 2026
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author Paz, H. R.
author_facet Paz, H. R.
contents Universities are widely expected to respond to technological transitions through rapid reconfiguration of programme demand and curricular supply. Using four decades of longitudinal administrative cohorts (1980-2019) from a large public university, we examine whether technological change is translated into observable shifts in programme hierarchy, or instead absorbed by institutional mechanisms that preserve structural stability. We show that programme rankings by entrant volume remain remarkably stable over time, while the translation of technological transitions into enrolment composition occurs with substantial delay. Short-run adjustment appears primarily in early persistence dynamics: attrition reacts sooner than choice, and "growth" in entrants can coexist with declining early survival - producing false winners in which expansion is decoupled from persistence. Macroeconomic volatility amplifies attrition and compresses between-programme differences, masking technological signals that would otherwise be interpreted as preference shifts. To explain why stability dominates responsiveness, we situate these patterns within nationally regulated constraints governing engineering education - minimum total hours and mandated practice intensity - which materially limit the speed of curricular adaptation (Ministerio de Educacion, 2021; Ley de Educacion Superior, 1995). National system metrics further support the plausibility of a high-friction equilibrium in which large inflows coexist with standardised outputs (Secretaria de Politicas Universitarias [SPU], 2022). These findings suggest that apparent rigidity is not an anomaly but the predictable outcome of a system optimised for stability over responsiveness.
format Preprint
id arxiv_https___arxiv_org_abs_2601_04917
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Homeostasis Under Technological Transition: How High-Friction Universities Adapt Through Early Filtering Rather Than Reconfiguration
Paz, H. R.
Physics and Society
Computers and Society
Universities are widely expected to respond to technological transitions through rapid reconfiguration of programme demand and curricular supply. Using four decades of longitudinal administrative cohorts (1980-2019) from a large public university, we examine whether technological change is translated into observable shifts in programme hierarchy, or instead absorbed by institutional mechanisms that preserve structural stability. We show that programme rankings by entrant volume remain remarkably stable over time, while the translation of technological transitions into enrolment composition occurs with substantial delay. Short-run adjustment appears primarily in early persistence dynamics: attrition reacts sooner than choice, and "growth" in entrants can coexist with declining early survival - producing false winners in which expansion is decoupled from persistence. Macroeconomic volatility amplifies attrition and compresses between-programme differences, masking technological signals that would otherwise be interpreted as preference shifts. To explain why stability dominates responsiveness, we situate these patterns within nationally regulated constraints governing engineering education - minimum total hours and mandated practice intensity - which materially limit the speed of curricular adaptation (Ministerio de Educacion, 2021; Ley de Educacion Superior, 1995). National system metrics further support the plausibility of a high-friction equilibrium in which large inflows coexist with standardised outputs (Secretaria de Politicas Universitarias [SPU], 2022). These findings suggest that apparent rigidity is not an anomaly but the predictable outcome of a system optimised for stability over responsiveness.
title Homeostasis Under Technological Transition: How High-Friction Universities Adapt Through Early Filtering Rather Than Reconfiguration
topic Physics and Society
Computers and Society
url https://arxiv.org/abs/2601.04917