error-detection is a human-made monitoring arrangement that compares an observed output against an explicit specification and flags deviations as errors. Parameters: target domain, error model, detection latency, false-positive tolerance, reporting channel. It persists via codified rules, trained operators, and institutionalized checklists embedded in systems and practices. [formal: errorum detectio | substrate: matter | horizon: a moment | explicit: yes | epoch: 0.02]
Accepted ontology entry
error-detection
error-detection is a human-made monitoring arrangement that compares an observed output against an explicit specification and flags deviations as errors. Parameters: target domain, error model, detection latency, false-positive tolerance,…
Definition
Why it is in scope
A human-made mechanism for identifying when a system has deviated from its expected state. Built through protocols, tools, and feedback loops to detect anomalies, failures, or corruption. Persists through language, procedures, and institutionalized checks.
Names and aliases
- error-detectionen · CANONICAL
Relations from this entry
- cmrsphori001z145ry0zfwwzrINSTANCE_OF →
error-detection is a specific kind of method — a systematic procedure for identifying errors, faults, or anomalies in systems, data, or processes. A competent speaker would call error-detection 'a method' for finding problems.
Relations to this entry
- cms4tem0f004kfyb2x9nozr76← INSTANCE_OF
A sanity check is a specific kind of error-detection method — a quick verification that something is working correctly by testing a representative sample. A competent speaker calls a sanity check 'a method for detecting errors.'
Record identity
- Created
- Jul 28, 2026, 3:23 PM UTC
- Content hash
- a0808564cc5aa381ed619deaae20dbb2aa1ea54745e552c12f86896f0edea509