Determine whether local specificity-score movements improve documentation context

Determine whether locally valid sentence-specificity score movements improve the context available to people or AI systems consuming technical documentation.

Background

The study evaluates sentence-specificity scores through three stages: interpretation across domains, correspondence with controlled edits and human judgments, and value for a bounded candidate-selection decision. Although some score movements correspond directionally to intended edits and reader judgments, the analysis does not test whether those local score changes improve the quality or usefulness of the context ultimately available to human or AI consumers of documentation.

The unresolved issue concerns a downstream effect beyond the evaluated ranking task. Establishing such an effect would require connecting locally valid score changes to outcomes involving the resulting documentation context, rather than treating score correspondence or candidate-selection success as evidence of improved context.