Claims

Indirect discrimination logic applies to facially neutral integrity rules with cohort-skewed burdens

Claim · All claims
Evidence · 1 study · theoretical r3 · q1
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q1 i? The reasoning structure of indirect discrimination analysis shows how facially neutral integrity rules predictably impose unequal effects on EAL cohorts, which institutions must justify through legitimate aims and proportionate means. → Grace Li 2026

Evidence

Grace Li 2026

Grace Li. (2026). GenAI Assessment and Language Equity: Drawing the Line between Support and Substitution. Journal of Academic Ethics. https://doi.org/10.1007/s10805-026-09760-1

q1 · i? · theoretical · r3

Doctrinal argument from the introduction identifying the first of three analytic resources. The article applies this analytical sequence — identify cohort-skewed burdens, then ask whether effects are justified — rather than reporting empirical data.

"it uses the reasoning structure of indirect discrimination analysis to show how facially neutral rules can have unequal effects for EAL cohorts and how institutions should justify those effects through legitimate aims and proportionate means"

Discussion

Page metadata
Field Value
type claim
id indirect-discrimination-logic-applied-to-integrity-rules
title Indirect discrimination logic applies to facially neutral integrity rules with cohort-skewed burdens
description Indirect discrimination logic applies to facially neutral integrity rules with cohort-skewed burdens
status review
evidence_strength weak
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — grace-li-2026

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