FaceValue: degradation battery, analysis code and derived measurements for a video engagement pipeline audit

Code and derived measurements for an audit of a video-based engagement analysis pipeline under controlled recording conditions. Contents. The video-degradation battery with its exact ffmpeg parameters and a manifest of every command; the two-detector plus affect-model pipeline used for scoring; the analysis code that computes effect sizes, noise floors, permutation tests and bootstrap intervals; the preprocessing control; the repeat-run control; the decision-level arm; the projection analysis; and thirteen derived measurement tables. PREREGISTRATION.md holds the decision rules and a dated change log. Source data. Measurements are derived from the DAiSEE dataset, which is obtained separately from its creators. No video and no DAiSEE label columns are redistributed here. DAiSEE permits research use and forbids sharing with third parties, so every table retains only clip identifiers; a holder of DAiSEE can join the labels back and reproduce every reported value. Before you re-use this. README.md records foknow: a set of condition keys is misnamed inthe code relative to what the recipe actually does; the effect measure is bounded below by zero and therefore biased upward, so a calibration on zero-effect synthetic data is provided; one trained component failed its pre-registered adequacy gate and is included only because the failure is reported; and one archived clip fails its checksum. Access. Files are restricted while the associated manuscript is under peer review. Access requests through Zenoanswered by the depositors. Restriction will