Claims

Strict emotional regimes contribute to the production of vulnerability that can precipitate deficit narratives from asset-oriented teachers

Claim · All claims
Evidence · 1 study · theoretical 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? Strict emotional regimes contribute to the production of vulnerability, which can result in the invocation of deficit narratives that asset-oriented veteran teachers are otherwise careful to avoid. → Chen 2026

Evidence

Chen 2026

Chen, G. A., Vedder-Weiss, D., & Marshall, S. A. (2026). Introduction: the role of affect in STEM teacher learning. Instructional Science. https://doi.org/10.1007/s11251-026-09777-4

q2 · i? · theoretical · r2

The editorial describes Marshall and Chen's (2025) contribution examining how strict emotional regimes contribute to "the production of vulnerability, which can result in the invocation of deficit narratives." The special issue paper itself was not read.

"Marshall and Chen ( 2025) examine another consequence of strict emotional regimes: their contribution to the production of vulnerability, which can result in the invocation of deficit narratives"

Discussion

Page metadata
Field Value
type claim
id emotional-regimes-vulnerability-deficit-narratives
title Strict emotional regimes contribute to the production of vulnerability that can precipitate deficit narratives from asset-oriented teachers
description Strict emotional regimes contribute to the production of vulnerability that can precipitate deficit narratives from asset-oriented teachers
status review
evidence_strength weak
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 1 — chen-2026

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