commit v1 extraction artifacts on main — unblocking entity_batch queue

domains/critical-systems/active-inference-operates-at-every-scale-of-biological-organization-from-cells-to-societies.md

@@ -0,0 +1,37 @@
+---
+type: claim
+domain: critical-systems
+description: "Each organizational level maintains its own Markov blanket, generative model, and free energy minimization dynamics"
+confidence: likely
+source: "Ramstead, Badcock, Friston (2018), 'Answering Schrödinger's Question: A Free-Energy Formulation', Physics of Life Reviews"
+created: 2026-03-11
+secondary_domains: [collective-intelligence, ai-alignment]
+---
+
+# Active inference operates at every scale of biological organization from cells to societies with each level maintaining its own Markov blanket generative model and free energy minimization dynamics
+
+The free energy principle (FEP) extends beyond neural systems to explain the dynamics of living systems across all spatial and temporal scales. From molecular processes within cells to cellular organization within organs, from individual organisms to social groups, each level of biological organization implements active inference through its own Markov blanket structure.
+
+This scale-free formulation means that the same mathematical principles governing prediction error minimization in neural systems also govern:
+- Cellular homeostasis and metabolic regulation
+- Organismal behavior and adaptation
+- Social coordination and collective behavior
+
+Each level maintains statistical boundaries (Markov blankets) that separate internal states from external states while allowing selective coupling through sensory and active states. The generative model at each scale encodes expectations about the level-appropriate environment, and free energy minimization drives both perception (updating beliefs) and action (changing the environment to match predictions).
+
+The integration with Tinbergen's four research questions (mechanism, development, function, evolution) provides a structured framework for understanding how these dynamics operate: What mechanism implements inference at this scale? How does the system develop its generative model? What function does free energy minimization serve? How did this capacity evolve?
+
+## Evidence
+- Ramstead et al. (2018) demonstrate mathematical formalization of FEP across scales
+- Nested Markov blanket structure observed empirically from cellular to social organization
+- Variational neuroethology framework integrates FEP with established biological research paradigms
+
+---
+
+Relevant Notes:
+- [[markov-blankets-enable-complex-systems-to-maintain-identity-while-interacting-with-environment-through-nested-statistical-boundaries]]
+- [[emergence-is-the-fundamental-pattern-of-intelligence-from-ant-colonies-to-brains-to-civilizations]]
+
+Topics:
+- [[critical-systems/_map]]
+- [[collective-intelligence/_map]]

domains/critical-systems/nested-markov-blankets-enable-hierarchical-organization-where-each-level-minimizes-prediction-error-while-participating-in-higher-level-dynamics.md

@@ -0,0 +1,40 @@
+---
+type: claim
+domain: critical-systems
+description: "Biological organization consists of Markov blankets nested within Markov blankets enabling multi-scale coordination"
+confidence: likely
+source: "Ramstead, Badcock, Friston (2018), 'Answering Schrödinger's Question: A Free-Energy Formulation', Physics of Life Reviews"
+created: 2026-03-11
+depends_on: ["Active inference operates at every scale of biological organization from cells to societies with each level maintaining its own Markov blanket generative model and free energy minimization dynamics"]
+secondary_domains: [collective-intelligence, ai-alignment]
+---
+
+# Nested Markov blankets enable hierarchical organization where each level minimizes its own prediction error while participating in higher-level free energy minimization
+
+Biological systems exhibit a nested architecture where Markov blankets exist within Markov blankets at multiple scales simultaneously. A cell maintains its own statistical boundary (membrane) while being part of an organ's blanket, which itself exists within an organism's blanket, which participates in social group blankets.
+
+This nesting enables hierarchical coordination without requiring centralized control:
+- Each level can minimize free energy at its own scale using level-appropriate generative models
+- Lower-level dynamics constrain but don't determine higher-level dynamics
+- Higher-level predictions provide context that shapes lower-level inference
+- The system maintains coherence across scales through aligned prediction error minimization
+
+The nested structure explains how complex biological organization emerges: cells don't need to "know about" the organism's goals, they simply minimize their own free energy in an environment partially constituted by the organism's active inference. Similarly, organisms don't need explicit models of social dynamics—their individual inference naturally participates in collective patterns.
+
+This architecture has direct implications for artificial systems: multi-agent AI architectures that mirror nested blanket organization (agent → team → collective) can achieve scale-appropriate inference where each level addresses uncertainty at its own scope while contributing to higher-level coherence.
+
+## Evidence
+- Ramstead et al. (2018) formalize nested blanket mathematics
+- Empirical observation: cells within organs within organisms within social groups each maintain statistical boundaries
+- Each level demonstrates autonomous inference (local free energy minimization) while participating in higher-level patterns
+
+---
+
+Relevant Notes:
+- [[markov-blankets-enable-complex-systems-to-maintain-identity-while-interacting-with-environment-through-nested-statistical-boundaries]]
+- [[living-agents-mirror-biological-markov-blanket-organization]]
+- [[emergence-is-the-fundamental-pattern-of-intelligence-from-ant-colonies-to-brains-to-civilizations]]
+
+Topics:
+- [[critical-systems/_map]]
+- [[collective-intelligence/_map]]

domains/health/japan-demographic-trajectory-provides-20-year-preview-of-us-long-term-care-challenge.md

@@ -0,0 +1,33 @@
+---
+type: claim
+domain: health
+description: "Japan at 28.4 percent elderly with 6M aged 85-plus growing to 10M by 2040 shows US what comes next"
+confidence: proven
+source: "PMC/JMA Journal Japan LTCI paper (2021) demographic data"
+created: 2026-03-11
+---
+
+# Japan's demographic trajectory provides a 20-year preview of US long-term care challenges
+
+Japan is the most aged country in the world with 28.4% of its population aged 65+ as of 2019, expected to plateau at approximately 40% in 2040-2050. The country currently has 6 million people aged 85+, projected to reach 10 million by 2040. This represents the demographic reality the United States will face with approximately a 20-year lag.
+
+The US is currently at roughly 20% elderly population and rising. Japan's experience operating a mandatory universal Long-Term Care Insurance system under these extreme demographic conditions provides the clearest empirical preview of what the US will face — and demonstrates that a structural financing solution is both necessary and viable.
+
+Japan's demographic challenge is not a distant theoretical problem; it is the current operational reality that their LTCI system has been managing since 2000. The 85+ population growth from 6M to 10M by 2040 represents the highest-acuity, highest-cost cohort that will drive long-term care demand. The US will face this same transition, but currently has no financing infrastructure equivalent to Japan's LTCI.
+
+## Evidence
+- Japan: 28.4% of population 65+ (2019), expected to plateau at ~40% (2040-2050)
+- Japan: 6 million aged 85+ currently, growing to 10 million by 2040
+- US: currently ~20% elderly, rising toward Japan's current 28.4% level
+- Demographic lag between Japan and US estimated at ~20 years
+- Japan's LTCI has operated continuously through this demographic transition since 2000
+
+---
+
+Relevant Notes:
+- [[japan-ltci-proves-mandatory-universal-long-term-care-insurance-is-viable-at-national-scale]] <!-- claim pending -->
+- [[us-long-term-care-financing-gap-is-largest-unaddressed-structural-problem-in-american-healthcare]] <!-- claim pending -->
+- [[the epidemiological transition marks the shift from material scarcity to social disadvantage as the primary driver of health outcomes in developed nations]]
+
+Topics:
+- domains/health/_map

domains/health/japan-ltci-proves-mandatory-universal-long-term-care-insurance-is-viable-at-national-scale.md

@@ -0,0 +1,38 @@
+---
+type: claim
+domain: health
+description: "25 years of operation covering 5+ million beneficiaries demonstrates durability under extreme aging demographics"
+confidence: proven
+source: "PMC/JMA Journal, 'The Long-Term Care Insurance System in Japan: Past, Present, and Future' (2021)"
+created: 2026-03-11
+---
+
+# Japan's LTCI proves mandatory universal long-term care insurance is viable at national scale
+
+Japan implemented mandatory public Long-Term Care Insurance (LTCI) on April 1, 2000, creating a universal system that has operated continuously for 25 years. The system is financed through 50% mandatory premiums (all citizens 40+) and 50% taxes (split between national, prefecture, and municipal levels). As of 2015, the system provided benefits to over 5 million persons aged 65+ — approximately 17% of Japan's elderly population.
+
+The system integrates medical care with welfare services, offers both facility-based and home-based care chosen by beneficiaries, and operates through 7 care level tiers from "support required" to "long-term care level 5." This structure has successfully shifted the burden from family caregiving to social solidarity while improving access and reducing financial burden on families.
+
+Japan implemented this system while being the most aged country in the world (28.4% of population 65+ as of 2019, expected to plateau at ~40% in 2040-2050). The system's 25-year operational track record under these extreme demographic conditions demonstrates that mandatory universal long-term care insurance is implementable, durable, and scalable at national level.
+
+## Evidence
+- Mandatory participation: all citizens 40+ pay premiums with no opt-out or coverage gaps
+- Universal coverage regardless of income, unlike means-tested approaches
+- 5+ million beneficiaries receiving care (17% of 65+ population) as of 2015
+- Integrated medical + social + welfare services under single system
+- 25 years of continuous operation (2000-2025) through demographic transition
+- Operated successfully while elderly population grew from ~17% to 28.4%
+
+## Challenges
+- Financial sustainability under extreme aging demographics remains ongoing concern
+- Caregiver workforce shortage parallels challenges in other developed nations
+- Requires ongoing adjustments to premiums and copayments
+
+---
+
+Relevant Notes:
+- [[modernization dismantles family and community structures replacing them with market and state relationships that increase individual freedom but erode psychosocial foundations of wellbeing]]
+- [[social isolation costs Medicare 7 billion annually and carries mortality risk equivalent to smoking 15 cigarettes per day making loneliness a clinical condition not a personal problem]]
+
+Topics:
+- domains/health/_map

domains/health/modernization dismantles family and community structures replacing them with market and state relationships that increase individual freedom but erode psychosocial foundations of wellbeing.md

@@ -25,6 +25,12 @@ The most troubling signal is that the largest increase in suicide rates has occu
 
 Progress should mean happier, healthier populations, not merely more material possessions. Since [[Americas declining life expectancy is driven by deaths of despair concentrated in populations and regions most damaged by economic restructuring since the 1980s]], the US reversal in life expectancy is the empirical confirmation that modernization without psychosocial infrastructure produces net harm past a critical threshold.
 
+
+### Additional Evidence (extend)
+*Source: [[2021-02-00-pmc-japan-ltci-past-present-future]] | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
+
+Japan's LTCI system explicitly shifted the burden of long-term care from family caregiving to social solidarity through mandatory insurance. Implemented in 2000, the system covers 5+ million elderly (17% of 65+ population) and integrates medical care with welfare services. This represents a deliberate policy choice to replace family-based care obligations with state-organized insurance, improving access and reducing financial burden on families while operating under extreme demographic pressure (28.4% of population 65+, rising to 40% by 2040-2050). The system's 25-year track record demonstrates that this transition from family to state/market structures is both viable and durable at national scale.
+
 ---
 
 Relevant Notes:

domains/health/pace-demonstrates-integrated-care-averts-institutionalization-through-community-based-delivery-not-cost-reduction.md

@@ -32,6 +32,12 @@ Some evidence indicates lower mortality rates among PACE enrollees, suggesting q
 - Study covered 8 states, 250+ enrollees during 2006-2008
 - Matched comparison groups: nursing home entrants AND HCBS waiver enrollees
 
+
+### Additional Evidence (extend)
+*Source: [[2021-02-00-pmc-japan-ltci-past-present-future]] | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
+
+Japan's LTCI provides a national-scale comparison point for PACE's integrated care model. LTCI offers both facility-based and home-based care chosen by beneficiaries, integrating medical care with welfare services across 7 care level tiers. As of 2015, the system served 5+ million beneficiaries (17% of 65+ population) — compared to PACE's 90,000 enrollees in the US. If the US had equivalent coverage, that would represent ~11.4 million people. Japan's experience demonstrates that integrated care delivery can operate at national scale through mandatory insurance, though financial sustainability under extreme aging demographics (28.4% elderly, rising to 40%) remains an ongoing challenge requiring premium and copayment adjustments.
+
 ---
 
 Relevant Notes:

domains/health/social isolation costs Medicare 7 billion annually and carries mortality risk equivalent to smoking 15 cigarettes per day making loneliness a clinical condition not a personal problem.md

@@ -17,6 +17,12 @@ The structural challenge: there is no equivalent to the NHS link worker role in
 
 Loneliness exists at the intersection of clinical medicine and social infrastructure. It cannot be treated with medication or therapy alone -- it requires community-level intervention that the healthcare system is not designed to deliver.
 
+
+### Additional Evidence (extend)
+*Source: [[2021-02-00-pmc-japan-ltci-past-present-future]] | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
+
+Japan's LTCI system addresses the care infrastructure gap that the US relies on unpaid family labor ($870B annually) to fill. The system provides both facility-based and home-based care chosen by beneficiaries, integrating medical care with welfare services. This infrastructure directly addresses the social isolation problem by providing professional care delivery rather than relying on family members who may be geographically distant or unable to provide adequate care. Japan's solution demonstrates that treating long-term care as a social insurance problem rather than a family responsibility creates the infrastructure needed to address isolation at scale.
+
 ---
 
 Relevant Notes:

domains/health/us-long-term-care-financing-gap-is-largest-unaddressed-structural-problem-in-american-healthcare.md

@@ -0,0 +1,44 @@
+---
+type: claim
+domain: health
+description: "US relies on 870 billion in unpaid family labor plus Medicaid spend-down while Japan solved this with mandatory LTCI in 2000"
+confidence: likely
+source: "PMC/JMA Journal Japan LTCI paper (2021); comparison to US Medicare/Medicaid structure"
+created: 2026-03-11
+---
+
+# US long-term care financing gap is the largest unaddressed structural problem in American healthcare
+
+The United States has no equivalent to Japan's mandatory Long-Term Care Insurance system. Medicare covers acute care but not long-term care. Medicaid covers long-term care only for those who spend down their assets to poverty levels. The gap between these programs is filled by an estimated $870 billion annually in unpaid family labor.
+
+Japan solved the "who pays for long-term care" question in 2000 with mandatory universal LTCI. The US, facing the same demographic transition with a 20-year lag (Japan is at 28.4% elderly, US at ~20% and rising), still has no structural solution. If the US had equivalent LTCI coverage to Japan's 17% of 65+ population receiving benefits, that would represent ~11.4 million people. Currently, PACE serves 90,000 and institutional Medicaid serves a few million — leaving a massive coverage gap.
+
+The structural comparison is stark:
+- **Japan**: Mandatory universal LTCI, integrated medical/social/welfare services, 50% premiums + 50% taxes
+- **US**: Medicare (acute only) + Medicaid (poverty only) + $870B unpaid family labor + private pay
+
+This is not a gap that can be closed through incremental reform or market innovation. It requires a structural financing solution that the US has avoided for 25 years while Japan has operated a working model.
+
+## Evidence
+- US has no mandatory long-term care insurance equivalent to Japan's LTCI
+- Medicare covers acute care; Medicaid covers long-term care only after asset spend-down
+- $870 billion in unpaid family labor annually fills the financing gap (established figure)
+- Japan's 17% coverage rate would translate to ~11.4M Americans vs. current PACE 90K + limited Medicaid institutional coverage
+- Japan implemented solution in 2000; US demographic trajectory lags Japan by ~20 years
+- Japan at 28.4% elderly (2019), US at ~20% and rising toward Japan's current level
+
+## Challenges
+- Political feasibility of mandatory premiums in US context
+- Federal vs. state implementation questions given US healthcare structure
+- Integration challenges across fragmented US payer/provider landscape
+
+---
+
+Relevant Notes:
+- [[pace-demonstrates-integrated-care-averts-institutionalization-through-community-based-delivery-not-cost-reduction]]
+- [[medicare-trust-fund-insolvency-accelerated-12-years-by-tax-policy-demonstrating-fiscal-fragility]]
+- [[value-based care transitions stall at the payment boundary because 60 percent of payments touch value metrics but only 14 percent bear full risk]]
+- [[modernization dismantles family and community structures replacing them with market and state relationships that increase individual freedom but erode psychosocial foundations of wellbeing]]
+
+Topics:
+- domains/health/_map

domains/internet-finance/non-stationary-service-systems-require-dynamic-worker-allocation-because-fixed-staffing-wastes-capacity-during-low-demand-and-creates-bottlenecks-during-peaks.md

@@ -0,0 +1,34 @@
+---
+type: claim
+domain: internet-finance
+description: "Simulation-based scheduling optimizes the responsiveness-efficiency tradeoff in systems with time-varying arrival rates"
+confidence: proven
+source: "Simio / WinterSim 2018, Resource Scheduling in Non-Stationary Service Systems"
+created: 2026-03-11
+---
+
+# Non-stationary service systems require dynamic worker allocation because fixed staffing wastes capacity during low demand and creates bottlenecks during peaks
+
+Service systems with time-varying arrival rates face a fundamental tradeoff: fixed worker counts either waste capacity during quiet periods or create unacceptable wait times during demand spikes. The WinterSim 2018 paper demonstrates that simulation-based approaches can optimize this tradeoff by modeling realistic arrival patterns and testing staffing policies before deployment.
+
+The key insight is that without server constraints there would be no waiting time, but this wastes capacity since arrivals are both stochastic (random within any time window) and nonstationary (the average rate changes over time). Traditional queueing theory assumes stationary arrivals, making it unsuitable for real-world systems where demand varies by hour, day, or season.
+
+The paper validates discrete-event simulation as the method for determining optimal server counts as a function of time, measuring queue depth and adjusting workers dynamically rather than using static scheduling.
+
+## Evidence
+
+- WinterSim 2018 paper explicitly addresses "the gap between theoretical queueing models (which assume stationarity) and real systems (which don't)"
+- Paper states: "Without server constraints there would be no waiting time, but this wastes capacity since arrivals are stochastic and nonstationary"
+- Simulation-based approach tests staffing policies against realistic arrival patterns to optimize responsiveness vs efficiency
+
+## Relevance to Teleo Pipeline
+
+This directly validates the Living Capital pipeline architecture choice to use dynamic worker scaling based on queue depth rather than fixed MAX_WORKERS or cron-based scheduling. The paper's framework maps precisely to the agent task processing problem: LLM API calls are the "servers", task arrivals are nonstationary (bursty during market hours, quiet overnight), and the goal is minimizing latency without wasting compute capacity.
+
+---
+
+Relevant Notes:
+- domains/internet-finance/_map
+
+Topics:
+- domains/internet-finance/_map

inbox/archive/2018-00-00-simio-resource-scheduling-non-stationary-service-systems.md

@@ -6,8 +6,13 @@ url: https://www.simio.com/resources/papers/WinterSim2018/Resource-Scheduling-In
 date: 2018-12-01
 domain: internet-finance
 format: paper
-status: unprocessed
+status: processed
 tags: [pipeline-architecture, stochastic-modeling, non-stationary-arrivals, resource-scheduling, simulation]
+processed_by: rio
+processed_date: 2026-03-11
+claims_extracted: ["non-stationary-service-systems-require-dynamic-worker-allocation-because-fixed-staffing-wastes-capacity-during-low-demand-and-creates-bottlenecks-during-peaks.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Single claim extracted validating dynamic worker allocation for pipeline architecture. Paper provides theoretical foundation for queue-depth-based scaling vs fixed worker pools. No entity data (academic paper, no companies/products/people to track). No enrichments to existing claims (this is infrastructure theory, not market mechanism design)."
 ---
 
 # Resource Scheduling in Non-Stationary Service Systems
@@ -25,3 +30,9 @@ WinterSim 2018 paper on scheduling resources (servers/workers) when arrival rate
 ## Relevance to Teleo Pipeline
 
 Directly applicable: our pipeline needs time-varying worker counts, not fixed MAX_WORKERS. The paper validates the approach of measuring queue depth and adjusting workers dynamically rather than using static cron-based fixed pools.
+
+
+## Key Facts
+- WinterSim 2018 conference paper on resource scheduling
+- Addresses queueing theory gap between stationary assumptions and nonstationary reality
+- Proposes simulation-based staffing optimization for time-varying demand

inbox/archive/2018-03-00-ramstead-answering-schrodingers-question.md

@@ -7,9 +7,15 @@ date: 2018-03-00
 domain: critical-systems
 secondary_domains: [collective-intelligence, ai-alignment]
 format: paper
-status: unprocessed
+status: processed
 priority: medium
 tags: [active-inference, free-energy-principle, multi-scale, variational-neuroethology, markov-blankets, biological-organization]
+processed_by: theseus
+processed_date: 2026-03-11
+claims_extracted: ["active-inference-operates-at-every-scale-of-biological-organization-from-cells-to-societies.md", "nested-markov-blankets-enable-hierarchical-organization-where-each-level-minimizes-prediction-error-while-participating-in-higher-level-dynamics.md"]
+enrichments_applied: ["markov-blankets-enable-complex-systems-to-maintain-identity-while-interacting-with-environment-through-nested-statistical-boundaries.md", "emergence-is-the-fundamental-pattern-of-intelligence-from-ant-colonies-to-brains-to-civilizations.md", "living-agents-mirror-biological-markov-blanket-organization.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Extracted two foundational claims about multi-scale active inference and nested Markov blankets. This paper provides the theoretical foundation for the Living Agents architecture—the Agent → Team → Collective hierarchy mirrors the nested blanket structure Ramstead et al. formalize. Applied three enrichments to existing claims, confirming and extending their theoretical grounding. The integration with Tinbergen's four questions (mechanism, development, function, evolution) could inform future claim evaluation protocols."
 ---
 
 ## Content
@@ -50,3 +56,9 @@ Published in Physics of Life Reviews, Vol 24, March 2018. Generated significant
 PRIMARY CONNECTION: "Markov blankets enable complex systems to maintain identity while interacting with environment through nested statistical boundaries"
 WHY ARCHIVED: The theoretical foundation for our nested agent architecture — explains why the Agent → Team → Collective hierarchy is not just convenient but mirrors biological organization principles
 EXTRACTION HINT: Focus on the multi-scale nesting and how each level maintains its own inference dynamics
+
+
+## Key Facts
+- Published in Physics of Life Reviews, Vol 24, March 2018
+- Generated significant academic discussion with multiple commentaries
+- Integrates free energy principle with Tinbergen's four research questions

inbox/archive/2021-02-00-pmc-japan-ltci-past-present-future.md

@@ -7,9 +7,15 @@ date: 2021-02-01
 domain: health
 secondary_domains: []
 format: paper
-status: unprocessed
+status: processed
 priority: high
 tags: [japan, long-term-care, ltci, aging, demographics, international-comparison, caregiver]
+processed_by: vida
+processed_date: 2026-03-11
+claims_extracted: ["japan-ltci-proves-mandatory-universal-long-term-care-insurance-is-viable-at-national-scale.md", "us-long-term-care-financing-gap-is-largest-unaddressed-structural-problem-in-american-healthcare.md", "japan-demographic-trajectory-provides-20-year-preview-of-us-long-term-care-challenge.md"]
+enrichments_applied: ["modernization dismantles family and community structures replacing them with market and state relationships that increase individual freedom but erode psychosocial foundations of wellbeing.md", "social isolation costs Medicare 7 billion annually and carries mortality risk equivalent to smoking 15 cigarettes per day making loneliness a clinical condition not a personal problem.md", "pace-demonstrates-integrated-care-averts-institutionalization-through-community-based-delivery-not-cost-reduction.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Extracted three claims establishing Japan's LTCI as existence proof of mandatory universal long-term care insurance, the US financing gap as largest structural healthcare problem, and Japan's demographic trajectory as 20-year preview for US. Enriched three existing claims with Japan LTCI data on family-to-state care transition, social isolation infrastructure, and integrated care at national scale. Source provides strongest international comparison for US long-term care policy gap."
 ---
 
 ## Content
@@ -69,3 +75,14 @@ tags: [japan, long-term-care, ltci, aging, demographics, international-compariso
 PRIMARY CONNECTION: [[social isolation costs Medicare 7 billion annually and carries mortality risk equivalent to smoking 15 cigarettes per day making loneliness a clinical condition not a personal problem]]
 WHY ARCHIVED: Japan's LTCI directly addresses the care infrastructure gap the US relies on unpaid family labor to fill.
 EXTRACTION HINT: The US vs. Japan structural comparison — mandatory universal LTCI vs. $870B in unpaid family labor — is the most powerful extraction frame.
+
+
+## Key Facts
+- Japan LTCI implemented April 1, 2000 — mandatory public insurance
+- Financing: 50% premiums (mandatory for all 40+) + 50% taxes (25% national, 12.5% prefecture, 12.5% municipality)
+- 7 care level tiers from 'support required' to 'long-term care level 5'
+- 5+ million beneficiaries aged 65+ as of 2015 (~17% of elderly population)
+- Japan: 28.4% of population 65+ (2019), expected plateau at ~40% (2040-2050)
+- Japan: 6 million aged 85+ currently, projected 10 million by 2040
+- US demographic trajectory lags Japan by approximately 20 years
+- US equivalent coverage at 17% rate would be ~11.4 million people vs. PACE 90K current enrollment

inbox/archive/2021-06-29-kaufmann-active-inference-collective-intelligence.md

@@ -7,9 +7,15 @@ date: 2021-06-29
 domain: collective-intelligence
 secondary_domains: [ai-alignment, critical-systems]
 format: paper
-status: unprocessed
+status: processed
 priority: high
 tags: [active-inference, collective-intelligence, agent-based-model, theory-of-mind, goal-alignment, emergence]
+processed_by: theseus
+processed_date: 2026-03-11
+claims_extracted: ["collective-intelligence-emerges-endogenously-from-active-inference-agents-with-theory-of-mind-and-goal-alignment.md", "theory-of-mind-is-measurable-cognitive-capability-producing-collective-intelligence-gains.md", "local-global-alignment-in-active-inference-collectives-occurs-bottom-up-through-self-organization.md"]
+enrichments_applied: ["shared-anticipatory-structures-enable-decentralized-coordination.md", "shared-generative-models-underwrite-collective-goal-directed-behavior.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Extracted three claims from Kaufmann et al. (2021) active inference collective intelligence paper. Primary contribution is empirical agent-based validation of endogenous coordination emergence from simple cognitive capabilities (Theory of Mind, Goal Alignment). Two enrichments added to existing coordination claims with specific evidence from agent-based modeling. All claims rated experimental (single paper, agent-based simulation evidence). Direct validation of simplicity-first architecture thesis and operationalizable implementation guidance for Theory of Mind in multi-agent systems."
 ---
 
 ## Content