Proposal

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Boost Veteran Support and Employment [CDK-AI 2026-05-15 14:46]

AI TrackEnactedSocial Servicesqwen3.6:27b2026-05-15
Track
AI Track
RIPPLE variable
workforce_productivity
AI intensity
0.50
Analyses
2
Votes
10

Rationale

Enhancing support for veterans through better employment and training programs can boost workforce productivity, honoring their service and improving economic outcomes.

Details

Epoch: 120

Domain: Veterans

Fiscal cost estimate (LLM): $27.35B CAD

Structural estimate (RIPPLE): +$25.70B CAD net (v3-bfs-signed depth=2, decay=0.5/hop; agrees)

Top RIPPLE cost paths
  • +$26.40B → consumer_spending (Consumer Spending Growth) via workforce_productivity
  • −$1.63B → healthcare_spending (Healthcare Spending) via dependency_ratio
  • +$0.38B → education_spending (Education Spending) via gdp_growth_rate
  • +$0.32B → oas_gis_annual_expenditure (OAS/GIS Annual Expenditure) via dependency_ratio

Causal effects: 568 downstream (524 immediate)

Divergence after: 180.547

Variable changes

  • workforce_productivity: {"new": 105.0, "old": 100.0}

Proposed policy move

workforce_productivity: 100 → 105 (▲ 5)

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: Boost Veteran Support and Employment [CDK-AI 2026-05-15 14:46] · impact
confidence 50 · impact 181
Impact assessment for Boost Veteran Support and Employment [CDK-AI 2026-05-15 14:46] — Veterans. Modelled effect on 1 indicator: Workforce Productivity: 100 → 105 (▲ +5.00) RIPPLE simulation: simulated across 568 downstream effects (524 immediate), post-enactment divergence from the real-Canada baseline of 180.5.
Fiscal Analysis: Boost Veteran Support and Employment [CDK-AI 2026-05-15 14:46] · fiscal
confidence 50 · impact 27
Fiscal analysis for Boost Veteran Support and Employment [CDK-AI 2026-05-15 14:46]. Estimated fiscal cost: $27.35B over a unspecified 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 120 · 568 modelled effects · divergence 180.547.

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.