#18 LIS with wing weights

Coefficient System · Impact measurement

Explicit corpus vs adoption blend; proposed weights α_CI=0.35, α_AI=0.65 (spoken > documented).

Data & measurement

Coefficients C, S, and R modulate contribution by domain and semantic type. Calibrate once per program cycle to avoid double-counting bursts of activity. Write explicit operational definitions for each symbol in your protocol, even when abbreviations look standard. Log instrument versions, sample frames, and cleaning rules whenever estimates are refreshed so longitudinal comparisons stay valid.

Solution & proof

Conceptual summary: Explicit corpus vs adoption blend; proposed weights α_CI=0.35, α_AI=0.65 (spoken > documented). Treat this as a measurement recipe: map each symbol to an empirical quantity, substitute estimates, and simplify with ordinary algebra (including logarithms, min/max caps, or piecewise branches where shown). Where limits or integrals appear, approximate with discrete sums on cohorts or time steps when closed forms are impractical. Interpret the result against thresholds in the cited source and report uncertainty on inputs.

Playground

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Source & tags

Source

Impact measurement framework — Coefficient System

Tags

impact-measurementci-ai