Claims

Large racial and socioeconomic achievement disparities persisted in an affluent high-performing district

Claim · All claims
Evidence · 1 study · qualitative r2 · q2
Currency · newest study 2017 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2022: baselines and conditions change

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? On the mathematics CST, African American (35%) and Latino (45%) proficiency rates were far below White (72%) and Asian (82%) rates despite a high district average. → Noguera 2017

Evidence

Noguera 2017

Noguera, P. (2017). Taking deeper learning to scale. Palo Alto, CA: Learning Policy Institute. https://learningpolicyinstitute.org/product/deeper-learning-to-scale

q2 · i? · qualitative · r2

Analysis of 2013 California State Test results in OUSD, a district where nearly all schools exceeded the API target of 800. The report prints mathematics proficiency rates showing African Americans at 35% and Latinos at 45% versus Whites at 72% and Asians at 82%, with similar ELA disparities by socioeconomic disadvantage.

"Whereas the district average proficiency is 62%, the proficiency rates for African Americans (35%) and Latinos (45%) are far below those of their White (72%) and Asian (82%) peers."

Discussion

Learner Variables

Page metadata
Field Value
type claim
id ousd-persistent-race-class-disparities
title Large racial and socioeconomic achievement disparities persisted in an affluent high-performing district
description Large racial and socioeconomic achievement disparities persisted in an affluent high-performing district
status review
evidence_strength moderate
newest_evidence 2017
recheck_by 2022
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — noguera-2017

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