Claims

Policy and enforcement counts were not strongly associated across systems

Claim · All claims
Evidence · 1 study · review r2 · q2
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.

q2 i? The number of policy labels per study was not significantly associated with the number of enforcement labels by Spearman rank correlation (ρ = .114, p = .283). → Minsun Kim 2026

Evidence

Minsun Kim 2026

Minsun Kim, S. Moonwara A. Monisha, Zihan Wu, David H. Smith IV. (2026). Exploring the Design Space of LLM-Based Programming Support in CS Education: A Scoping Review through the Lens of Assistance Governance. https://arxiv.org/abs/2607.21257 doi:10.48550/arxiv.2607.21257

q2 · i? · review · r2

Secondary correlational analysis across the 90-system corpus testing whether systems with more policy categories also used more enforcement mechanisms. The CSV data did not support a strong tendency, though many systems used multiple labels of both kinds.

"The number of policy labels per study was not significantly associated with the number of enforcement labels by Spearman rank correlation (ρ=.114,p=.283)."

Discussion

Page metadata
Field Value
type claim
id policy-enforcement-counts-not-associated
title Policy and enforcement counts were not strongly associated across systems
description Policy and enforcement counts were not strongly associated across systems
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 — minsun-kim-2026

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