Unified taxonomy system consolidates 5,000 terms for human-AI interaction, suggesting effective categorization.
Restricted bundle of 38 files covering die AUTS_V2 (AUGMANITAI Unified Taxonomy System V2) Pipeline: konsolidiert AUG (1.000 AUGMANITAI Core Lexikon Terme) + RPH (4.000 Relational Phenomenology of Human-AI Interaction Terme) zu 5.000 Termen unter JSON-LD/SKOS-Schema. Schema-Anker ISO 704:2022 / ISO 1087:2019 / ISO 30042:2019. Files: AUTS_V2_SCHEMA (JSON-LD/SKOS-Schema mit Domain-Registry), AUTS_V2_PILOT, AUTS_V2_SHOWCASE_200 (kuratiertes 200-Term-Showcase + FINAL + 4 POLISHED-Versionen + REFINED), AUTS_V1_ORIGINAL + 2 SANITIZED-Backups. Pipeline-Reports (Methodik-Audit-Trail): tier1 dedupe/grammar-fix/neutralize/polish/refine/rejects/score Reports + tier2 dataset Report + HANDOFF_ADVERSARIAL + sanitize_report. Pipeline-Skripte (Methodik-Code): SUPER_ENGINE_PROMPT (Methodik-Prompt mit Hard-Rules ISO-704 + Anti-Filler + Distinct-Speech-Acts), adversarial_scanner.py, engine.py, merge_enrichments.py, phase_a_sanitize.py, phase_a2_extract_xrefs.py, phase_b_schema_v2.py, prepare_batches.py, process_batch.py, quality_validator.py, run_uplift.py, scan_batch.py, super_engine.py, uplift_engine.py, plus tier1 curate-scripts. Strict-Wissenschaft, reproduzierbare ISO-704-konforme Term-Korpus-Pipeline.
No takes yet. Share an insight, caveat, or question.
Andreas Ehstand (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: