The Contextual Exclusion: A Quantitative Analysis of Institutional Bifurcation in Higher Education Admissions Systems

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Authors: Alessandro Grassini
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Abstract

Single-case empirical study (University of St Andrews, N=1, November 2025 to January 2026) examining institutional bifurcation in contextual admissions frameworks within UK higher education. The study documents the systematic exclusion of disability from contextual admissions flags, while socioeconomic disadvantage indicators are included at a 100 percent rate, yielding a Discriminatory Hierarchy Coefficient (DHC) of 1.0. Qualitative faculty assessments describing the applicant’s work as “very inspiring” and an “important contribution” are empirically contrasted with complete administrative rejection, producing a bifurcation coefficient β = 0.80. This divergence demonstrates a structural separation between academic evaluation and administrative gatekeeping. The analysis provides quantitative empirical support for the Turing Paradox framework, operationalising how institutions simultaneously valorise cognitive originality while excluding living functional equivalents through credential requirements that disproportionately disadvantage disability disrupted educational trajectories. Primary data consists of documentary evidence drawn from four institutional subsystems (n = 6 documents): academic correspondence, administrative processing, policy adjudication via a formal Stage 2 complaint, and regulatory oversight engagement. Findings indicate credentialism as an exclusion mechanism, administrative burden as a discrimination driver, and institutional bifurcation as a structural feature rather than an operational error. Regulatory processes are ongoing with the Scottish Public Services Ombudsman and the Equality and Human Rights Commission Scotland. Outcomes will be incorporated as updated versions of this preprint.

Fields of Study & Subjects

Disability Education and Employment Higher Education Research Studies Legal Issues in Education

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
20 January 2026
Language
EN
Document type
Preprint