Library / Research Method Practice Principles Framework
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Source changed 2026-10-03 05:29:54 UTC · snapshot created 2026-10-03 05:30:57 UTC · last check 2026-10-03 07:25:10 UTC

RMP.1:6 - Bias-Annotation

Recurring biasLikely driftRepair
institutional-status biasAcademic employment, a grant, or a journal is treated as necessary or sufficient.Apply the same four conditions to corporate, public, independent, academic, and citizen holders.
activity-label biasSearching, testing, measuring, interviewing, coding, or publishing is classified by appearance.Recover the intended episteme change, uncertainty, criticism, trace, and return.
novelty-to-me biasMissing personal knowledge is called a novel question.Qualify the current frame and attempt the supplied-answer stop first.
favored-answer biasThe desired conclusion sets the question and source cut.State materially different answers and the criticism that could defeat or narrow the favored claim.
protocol biasUse of a standard protocol is treated as creativity and systematicity.Ask whether a non-routine choice remains and whether the trace connects question to criticism and return.
uncertainty inflationSchedule, access, process variance, or ordinary execution risk is called epistemic uncertainty.Name the exact unresolved claim or return the operational constraint to its owner.
data-volume biasMore observations are assumed to create a better question.Define the answer-changing contrast and useful stop before requesting more data.
publication biasCommunication through a recognized carrier is treated as proof of research or truth.Inspect the Work and result relations; keep publication and recognition separate.
openness absolutismUnrestricted release is made a membership condition.Require a criticism-ready trace and bounded communicability while preserving ethics, rights, confidentiality, safety, security, and community governance.
authority leakageEvidence production is allowed to choose maintenance, policy, release, or personal action.Name the receiver and use while leaving the decision and values with their direct owner.
AI/tool biasTool sophistication or fluent synthesis substitutes for source verification and criticism.Recover exact sources, transformations, human/tool contributions, unsupported claims, and limits.