Claims

Offloading is decodable from metacognitive monitoring and control brain processes

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person · recheck by 2026: tool and model accuracy changes quickly

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? Pattern classifiers could decode metacognitive monitoring and control separately, and cross-classify between them, though cross-classification was less reliable. → Gilbert 2023

Evidence

Gilbert 2023

Gilbert, S. J., Boldt, A., Sachdeva, C., Scarampi, C., & Tsai, P.-C. (2023). Outsourcing Memory to External Tools: A Review of 'Intention Offloading'. Psychonomic Bulletin & Review. https://doi.org/10.3758/s13423-022-02139-4

q2 · i? · review · r2

The review reports Boldt and Gilbert (2022), an fMRI study using multivariate pattern analysis to decode metacognitive monitoring and control during an intention offloading paradigm. No effect size is printed.

"a pattern classifier that had only ever been trained to classify high versus low desire for a reminder also accurately clas- sified the difference between a brain with high versus low confidence, even though it was presented with novel data and had never been trained on this distinction"

Discussion

Page metadata
Field Value
type claim
id neural-metacognitive-decoding-offloading
title Offloading is decodable from metacognitive monitoring and control brain processes
description Offloading is decodable from metacognitive monitoring and control brain processes
status review
evidence_strength weak
newest_evidence 2023
recheck_by 2026
generated by process:wiki-ingest on 2026-10-15
trust unverified — no one has confirmed this page's content
sources 1 — gilbert-2023

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