feat(iace): ESAW accident-stats RAG pipeline + real 2023 risk anchors
Executes the accident-statistics pipeline for the risk anchors: - Refresh contactModeEvidence with real Eurostat ESAW figures (dataset hsw_ph3_08, reference year 2023): impact 24.0%/21.4%, struck-by 13.0%/23.8%, sharp 14.5%, trapped/crushed 13.8% (fatal), + new physical/mental-stress mode 24.7% → ergonomic. GT-calibrated tier VALUES unchanged; the real data confirms the ordering. - Add the versioned source document (datasources/esaw_accident_stats_2023.md, ESAW CC BY 4.0 + OSHA public-domain context) that is ingested into the core RAG collection bp_iace_accident_stats for searchable evidence. - Whitelist bp_iace_accident_stats in the RAG search handler so seeding can full-text search the statistics with citation at seed time. Two-layer design: the small license-tagged code table stays the deterministic tier/citation lookup; the RAG holds the searchable source evidence. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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@@ -9,9 +9,17 @@ import "sort"
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// this table only carries the provenance so generated risk numbers are
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// auditable and correctly attributed. No raw dataset is vendored; only these
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// aggregate facts. Excluded by license: DGUV, DIN/Beuth/ISO/IEC. See
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// DATA_SOURCES.md. RAG/Qdrant ingestion is deliberately NOT used here: ~a dozen
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// stable aggregate facts are better served by a license-tagged code table than
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// by vector retrieval.
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// DATA_SOURCES.md.
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//
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// Two-layer design: this small license-tagged CODE table is the deterministic
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// tier/citation lookup (fast, stable, no nondeterminism). The underlying SOURCE
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// documents are additionally ingested into the core RAG collection
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// `bp_iace_accident_stats` so the seeding UI / an auditor can full-text search
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// the evidence and pull the original figure — the RAG is the evidence/search
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// layer, not the tier lookup.
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//
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// Figures below are the EU aggregate shares from Eurostat ESAW dataset
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// hsw_ph3_08, reference year 2023 (Figure 7, "contact - mode of injury").
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// RiskEvidence is the public-statistics provenance for one contact mode.
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type RiskEvidence struct {
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@@ -25,9 +33,9 @@ type RiskEvidence struct {
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}
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const (
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esawSource = "Eurostat (ESAW)"
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esawSource = "Eurostat (ESAW, hsw_ph3_08, 2023)"
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esawLicense = "CC BY 4.0"
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esawAttribution = "Quelle: Eurostat (ESAW), CC BY 4.0"
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esawAttribution = "Quelle: Eurostat (ESAW) hsw_ph3_08, Bezugsjahr 2023, CC BY 4.0"
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esawRetrieved = "2026-06"
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)
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@@ -40,10 +48,11 @@ func esawEvidence(mode, label, stat string) RiskEvidence {
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// figure is documented; other modes are anchored by the ESAW ordering and
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// GT-calibrated without a single citable share, so they carry no fabricated stat.
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var contactModeEvidence = map[string]RiskEvidence{
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"impact_stationary": esawEvidence("impact_stationary", "Anstoßen an ruhendem Objekt", "~24 % der Arbeitsunfälle"),
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"struck_by": esawEvidence("struck_by", "Getroffen von bewegtem Objekt", "~13 % (nicht-tödlich) / ~24 % (tödlich)"),
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"crushing": esawEvidence("crushing", "Quetschen / Einklemmen", "~14 % der tödlichen Arbeitsunfälle"),
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"cutting": esawEvidence("cutting", "Kontakt mit scharfem Gegenstand", "~15 % der Arbeitsunfälle"),
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"impact_stationary": esawEvidence("impact_stationary", "Anstoßen an ruhendem Objekt", "24,0 % (nicht-tödlich) / 21,4 % (tödlich)"),
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"struck_by": esawEvidence("struck_by", "Getroffen von bewegtem Objekt", "13,0 % (nicht-tödlich) / 23,8 % (tödlich)"),
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"crushing": esawEvidence("crushing", "Eingeklemmt / zerquetscht", "13,8 % (tödlich)"),
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"cutting": esawEvidence("cutting", "Kontakt mit scharfem/spitzem Agens", "14,5 % (nicht-tödlich)"),
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"ergonomic": esawEvidence("ergonomic", "Physische/psychische Belastung", "24,7 % (nicht-tödlich)"),
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}
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// RiskEvidenceFor returns the documented public statistic for a contact mode.
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