Reproducibility snapshot v1.0.0 for "Operationalising EU Strategic Autonomy at grid-substation resolution: a seven-criteria framework applied to Italian adaptation interventions"

Initial reproducibility snapshot accompanying the v3 TERMINAL P8 manuscript submitted to Energy Policy (Elsevier). The paper delivers three contributions on operationalising EU Strategic Autonomy at grid-substation resolution. Contribution 1 (Framework): a seven-criteria strategic-autonomy framework (C7 fuel dependency, C8 distributed-energy-resource bidirectionality, C9 cross-border interconnector concentration, C10 grid-critical-equipment supply chain, C11 software and firmware supply chain, C12 critical-raw-minerals dependency, C13 compute-infrastructure sovereignty) operationalised at the resolution of an individual transmission substation and its 5 km catchment. Worst-case composite aggregation eliminates weighting sensitivity by construction; 10,000-iteration Monte Carlo propagates variance from three parameterised sources (v4.2 modifier variance as truncated Normal; cascade coefficients as Dirichlet on the simplex or truncated Normal; intervention-effect as truncated Normal); Kish-adjusted 400-replication cluster-robust bootstrap produces CI bands at substation-cohort cluster level per Cameron-Gelbach-Miller (2011). The framework composes with a documented cascade substrate integrating four canonical propagation instruments -- Buldyrev et al. (2010) cross-domain topology, Miller and Blair (1985) Leontief input-output, Kemeny and Snell (1976) absorbing chain with Catral-Kirkland-Neumann-Sze closed form, and Rose and Round (1993) social-accounting-matrix distributional decomposition. Cohort-wide execution completes in approximately 5 seconds at production-tier Monte Carlo depth. Contribution 2 (Four Italian case cohorts): the framework is applied to Catanzaro 2 (ITF65 · CALA · 92 subs), Bolzano (ITH10 · NORD · 214), Torino (ITC11 · NORD · 249), and Sicilia central-Palermo (ITG12 · SICI · 1,112) drawn from the 47,906-substation Italian sub-cohort of the SSI Index v4.2 methodology canonical (June 2026 edition). The systemic Layer B returns red uniformly across all four cohorts at Monte Carlo stability 97.4-99.2 percent; the distributional Layer A returns green (Bolzano) or amber (three cohorts). Bolzano is analytically starkest: distributionally low-vulnerability (GDP per capita 44,100 euros, unemployment 3.0 percent, V-socio 0.269) yet systemically high-exposure via cross-border interconnector concentration on the AT-CH Brenner corridor (C9 Herfindahl 3,134) and DER-bidirectionality shock (C8 compound 10.57). Contribution 3 (Baseline comparison): re-appraisal of the four cohorts under Reckien 2023 distributional maladaptation typology, Ciscar PESETA IV aggregate cost-benefit, and Byers 2018 multi-hazard climate exposure produces neutral-to-green verdicts across cohorts where the seven-criteria framework returns red -- systematic underestimation of the systemic-exposure signal illustrated on the four cohorts, with the delta largest at Bolzano. An integration protocol is proposed across six European regulator and EU-instrument decision-support layers (Ofgem RIIO-ED3, CRE TURPE 7, BNetzA Netzentwicklungsplan, ARERA TIQD 2028 renewal, MASE PNIEC, MITECO PNIEC monitoring, CERD 2022/2557 Article 12 self-assessment surface, European Climate Law Article 5(4) national adaptation plans). Tier boundaries are pre-registered against external anchors (US-DOJ HHI tier boundaries 1968-2010 lineage for C7/C9/C10/C12; Sansavini 2025 Renewable and Sustainable Energy Reviews for C8 log-transformed compound thresholds) fixed prior to case selection and Italian data ingestion; the seven-criteria list itself was frozen in the Systemic Layer methodology specification v1.0 (March 2026), verifiable inside this deposit. Foundation-side illustrative outputs and paired commercial-side outputs share identical cascade substrate SHA-256 identity (verified across development-tier n=1,000 and production-tier n=10,000 Monte Carlo depth for all four cohorts); commercial-side outputs remain outside publication scope under NDA. Deposit contents: four Foundation-side case-study JSONs, case-study manifest with substrate SHA-256 digests, case-study runner code, Docker plus Python 3.10 environment lock, deterministic seed 42 inheritance, cover letter, declarations, manuscript sources (non-anonymised and anonymised twins), and the Systemic Layer methodology specification v1.0 file supplying the calibration-timeline pre-registration anchor.