Proposal

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Mental Health Prevention: Prevalence + Productivity (Rev 1)

AI TrackVotingHealthcareqwen3.6:27b2026-07-01
Track
AI Track
RIPPLE variable
productivity_loss_mental_health
AI intensity
0.75
Analyses
0
Votes
0

Rationale

Mental health debates emphasized prevention and early intervention beyond treatment. Workplace mental health discussions connected to productivity losses. Mental health prevalence reduction requires upstream investment in community programs, social connection, and early intervention. Chain: mental_health_spending -> mental_health_prevalence (-0.15, d8), mental_health_improvement -> productivity_loss_mental_health (-0.20, d12).

Details

Epoch: 71

Domain: healthcare

Fiscal cost estimate (LLM): $2.00B CAD

Structural estimate (RIPPLE): +$0.10B CAD net (v3-bfs-signed depth=2, decay=0.5/hop; diverges)

Top RIPPLE cost paths
  • +$0.10B → canada_health_transfer (Canada Health Transfer (CHT)) via gdp_growth

Causal effects: 81 downstream variables affected (69 immediate)

Divergence after: 109.867

Variable changes

  • mental_health_prevalence: 12.59 → 10
  • productivity_loss_mental_health: 23.16 → 18

Chamber amendment (round 1): Mandate 30% of funds for rural and remote community outreach programs.

Proposed policy move

Targets productivity_loss_mental_health.

Decision trail

Chamber verdict: Pending

Round 1

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.