Metacognitive Sensitivity
Updated 2026-07-31
INTRODUCTION
English translation pending.
CORE DEFINITION
A concept from metacognition research, closely tied to the work of researchers such as Maniscalco and Lau, describing how well a person can discriminate between their own correct and incorrect judgments. High sensitivity means confidence is high when the answer is right and lower when it is wrong. The key constraint is that this is separate from raw ability and from overall confidence: a person can be both highly confident and highly inaccurate, and the measure captures the calibration between confidence and correctness rather than either alone.
SCAFFOLDING EFFECT
Reduce cognitive load
- Calibration check: compare stated confidence with actual accuracy to find where you are miscalibrated. - Help-seeking trigger: use low confidence on high-stakes calls as a signal to seek verification. - Overconfidence detection: flag domains where certainty runs high but accuracy does not.
Anchor fast decisions
Judgments arrive with an internal signal about their reliability. When that signal tracks actual correctness, confidence can be used as a routing cue: proceed when certain, verify when not. When the signal is decoupled, certainty becomes noise, so errors go undetected because nothing feels wrong. Sensitivity is that coupling, and it improves with feedback that ties outcomes back to confidence.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- pmc.ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC4097944/verified
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