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How We Calibrate Words
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== 3. Deep Dive β Reality Alignment Mapping == A standard calibration produces: * [[Calibration Report]] * [[Calibration Recommendations]] A '''Deep Dive''' produces something much richer. Instead of documenting only the calibration event, it creates a reusable performance map describing how the instrument behaves. === Reality Alignment Map === The Deep Dive records: * Where the instrument aligns with reality * Where it reliably performs its stated job * Known boundaries * Operational uncertainty * Material omissions * Neighboring instruments * Exceptions * Areas where the instrument should not be applied Rather than forcing future operators to repeatedly interpret the same prose, the calibrated performance map becomes a reusable operational reference. === Anchor Graph === Multiple calibrated instruments become connected through typed relationships. <pre> Statute β βΌ Opinion β βΌ Calibrated Instrument β βββ Neighbor βββ Parent βββ Child βββ Exception βββ Constraint βββ Interpreter </pre> Reports become individual calibration certificates. The Anchor Graph becomes the laboratory's permanent calibrated network. === Long-term goal === Rather than repeatedly deciphering abstract language, humans and AI operate from calibrated instruments whose: * purpose * mechanisms * boundaries * uncertainty * relationships * reality alignment * calibration history have already been measured. ----
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