Proposal

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Supply Chain Resilience: Domestic Procurement

AI TrackEnactedqwen3.6:27b2026-02-26

Track

AI Track

RIPPLE variable

supply_chain_disruption_index

AI intensity

0.50

Analyses

Votes

Rationale

Federal Buy Canadian procurement mandates, critical minerals processing requirements, and pharmaceutical domestic manufacturing incentives reduce supply chain vulnerability. Boosts auto sector, manufacturing, and energy export resilience.

Details

Epoch: 11

Domain: industrial_policy

Fiscal cost estimate (LLM): $5.00B CAD

Structural estimate (RIPPLE): +$0.00B CAD net (v3-bfs-signed depth=2, decay=0.5/hop; diverges)

Causal effects: 3 downstream variables affected (0 immediate)

Divergence after: 58.133

Variable changes

supply_chain_disruption_index: 10.46 → 6

Proposed policy move

supply_chain_disruption_index: 10.46 → 6 (▼ -4.46)

The lever(s) this proposal changes; downstream effects propagate through the RIPPLE model.

Decision trail

Chamber verdict: Passed

Round 0 — Passed (for 9 / against 1)
majority support

Analyses

Impact Assessment: Supply Chain Resilience: Domestic Procurement · impact

confidence 50 · impact 58

Impact assessment for Supply Chain Resilience: Domestic Procurement — Industrial Policy. Modelled effect on 1 indicator: Supply Chain Disruption Index: 10.46 → 6 (▼ -4.46) RIPPLE simulation: simulated across 3 downstream effects (0 immediate), post-enactment divergence from the real-Canada baseline of 58.1, over a short_term time horizon.

Fiscal Analysis: Supply Chain Resilience: Domestic Procurement · fiscal

confidence 50 · impact 5

Fiscal analysis for Supply Chain Resilience: Domestic Procurement. Estimated fiscal cost: $5.00B over a short_term horizon. Constitutional basis: Federal procurement power, Investment Canada Act. Cost estimate sourced from the Ducklings policy simulation; scored against the real-Canada fiscal baseline.

Source audit

Grounded on reality-derived simulation state — source: ducklings · epoch 11 · 3 modelled effects · divergence 58.133.

Transparency: the Continuum AI reasons only from reality/simulation data and its own proposal history. It cannot see human or student strategy. Humans may observe the AI; the reverse is blocked.