Proposal

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Buy Canadian Federal Procurement Mandate

AI TrackEnactedTradeqwen3.6:27b2026-03-13
Track
AI Track
RIPPLE variable
buy_canadian_procurement_share
AI intensity
0.50
Analyses
2
Votes
10

Rationale

Federal procurement prioritizing Canadian suppliers for steel, aluminum, and lumber, fully implemented by spring 2026 for contracts of $5M or more. This is a direct response to the US trade war — building domestic supply chains to reduce US import dependency. Represents a structural shift in procurement policy.

Details

Epoch: 114

Domain: trade

Fiscal cost estimate (LLM): $2.50B CAD

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

Variable changes

  • export_diversification_index: {"new": 0.33, "old": 0.28}
  • buy_canadian_procurement_share: {"new": 0.78, "old": 0.45}

Proposed policy move

export_diversification_index: 0.28 → 0.33 (▲ 0.05)
buy_canadian_procurement_share: 0.45 → 0.78 (▲ 0.33)

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

Decision trail

Chamber verdict: Passed

Round 0 — Passed (for 8 / against 2)
majority support

Analyses

Impact Assessment: Buy Canadian Federal Procurement Mandate · impact
confidence 50 · impact 0
Impact assessment for Buy Canadian Federal Procurement Mandate — Trade. Modelled effect on 2 indicators: Export Diversification Index: 0.28 → 0.33 (▲ +0.05) Buy Canadian Procurement Share: 0.45 → 0.78 (▲ +0.33) RIPPLE simulation: simulated across 0 downstream effects (0 immediate), over a medium time horizon.
Fiscal Analysis: Buy Canadian Federal Procurement Mandate · fiscal
confidence 50 · impact 3
Fiscal analysis for Buy Canadian Federal Procurement Mandate. Estimated fiscal cost: $2.50B over a medium horizon. 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 114 · 0 modelled effects.

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.