Search protocol, screening log and bibliometric analysis for "Beyond identity: biometric traces as multi-attribute probabilistic evidence"

Supporting materials for the manuscript Beyond identity: biometric traces as multi-attribute probabilistic evidence. These files exist so that the manuscript's negative claim can be checked. The paper argues that four biometric research threads barely cite one another. A negative claim of that kind is worth only as much as the corpus it is computed on, so the corpus, every screening decision and the analysis code are deposited here. search_strings.csv — the 28 verbatim Crossref queries, with fields, filters, page size and page ceiling. screening_log.csv — the primary artefact: one row per screened record, 12,975 rows, each with its include/exclude decision and reason. recount_from_log.py — regenerates the PRISMA-ScR record flow from the log, so every count in the paper can be verified without trusting either the paper or the pipeline. The seven screened corpora, the cross-thread citation counts, the negative-control corpus pairs, the three screening specifications, and the full pipeline in run order. A correction made before publication. A pre-upload integrity check found the pipeline's summary one record short of its own log in a single cell (T3 fingerprint→face: 2,440 summarised against 2,441 distinct DOIs logged; total 12,974 against 12,975). Thirteen of fourteen cells and both inclusion totals reconciled exactly. The log was not edited; the summary was regenerated from it, and both versions are deposited so the difference stays visible. A withdrawn result is included deliberately. An earlier version of this analysis reported a normalised observed/expected fragmentation ratio against a degree-preserving null. That estimator did not survive its own controls and the manuscript withdraws it; the raw counts, which do survive, are what the paper reports. controls.json records the controls that defeated it, because a withdrawn result is part of the evidence. Data are CC BY 4.0; code is MIT. See README.md and LICENSE.