Use Case · Community

Flows of fulfillment and deprivation through communities.

The DTES 130-node relational network is the first instance of community-scale transmutation accounting. The same shape generalizes. Any community can carry this layer.

The DTES Generalization

Vancouver's Downtown Eastside (DTES) is the empirical site for the framework's community-scale work. The pilot's network synthesis contains 130 nodes: 78 pseudonymized individuals, 37 named organizations (shelters, clinics, harm-reduction sites, Indigenous-front-door services, peer-support spaces, faith communities, employment services), 8 systemic nodes (housing, healthcare, criminal justice, income support, drug supply, family, discrimination, the DTES itself as a system), and 7 unnamed roles (family, peer relationships, romantic partners, mentors).

Two kinds of edges run between these nodes. Fulfillment edges (D+ flow) connect a source that emits fulfillment to a recipient that absorbs it. Deprivation edges (D− flow) connect a source that emits deprivation to a recipient that absorbs it. Each edge carries a Maslow level (physiological, safety, belonging, esteem, actualization) and a magnitude estimate from the qualitative coding. The result is a flow graph that can be rendered, filtered, and queried.

The Extraction Gradient

The empirical finding from the pilot is the extraction gradient: deprivation flows inward into the DTES from the eight systemic nodes (housing, healthcare, drug supply, criminal justice, etc.), and mutual aid Transmuters concentrate inside the neighborhood rather than at the institutional boundary. The shape is consistent and replicable.

The pilot's first hypothesis (Invisible Transmuters) tested whether informal community members rather than credentialed professionals were performing the filtering work that institutional discourse credits to formal service providers. The data supported the hypothesis. Of the 13 respondents who met the Transmuter threshold (high F absorption, high M-net), 12 had no formal service role. The work was being done. It was not being counted.

This is the shape that generalizes. Every community has institutional Extractors at the boundary (systems whose net flow is deprivation amplification) and informal Transmuters inside the boundary (residents whose net flow is deprivation filtering and fulfillment emission). The empirical pattern shifts the resource-allocation question. A funder optimizing for community well-being is now choosing between funding the institutional Extractor (whose dashboard reads well) and funding the informal Transmuter (whose dashboard does not yet exist).

Intervention Design

The framework's primitives translate into concrete intervention designs that align with the empirical finding.

Peer-recognition stipends for informal Transmuters. Community members performing measured high-M work (overdose response, peer mentoring, mutual aid coordination, cultural maintenance) receive recurring stipends sized by their measured transmutation profile. The framework's chosen-sacrifice principle is the structural guardrail: the stipend recognizes voluntary work; it cannot compel work that becomes forced extraction once stipendiary.
Capacity-matched skill programs. Programs that move recipients from Conduit toward Transmuter carry the regeneration multiplier. The Foundation's analysis of the G8 ("if you had stable housing, what would you do") aspiration data shows a recoverable pool of recipient capacity that goes unrealized because the institutional offerings do not match it. Programs designed against the aspiration data are higher-yield than programs designed against the deficit data.
Housing-first bundled with AI literacy and creative tooling. The empirical literature on housing-first is robust. The framework adds two design constraints. First, the housing must produce fulfillment emission that increases recipient capacity, not just consumption. Second, the bundled services must include literacy and tooling for the technologies that increasingly mediate access to other services. AI literacy is the 2026 successor to digital literacy.
Community-controlled AI tools. Tools designed from the community's own data, deployed with community-held provenance receipts (see Wisdom Wallet), with recipient transmutation profile as a first-class output. The infrastructure for this is the Foundation's third pillar.

How to Replicate

Any community can run this protocol. The Foundation offers protocol-replication support through Lantern Lab Society. The replication package contains:

The DTES Transmutarian Relational Flow Survey. Open codebook, verbal administration to bypass literacy barriers, same-first-initial pseudonymization at the time of fieldwork, cash compensation. The instrument is sequenced to build psychological safety: Maslow and belonging items open the interview; AI questions arrive later when trust is established.
The 10-prompt LLM coding pipeline. Claude Sonnet 4 for individual transcript coding, Claude Sonnet 4.6 for cross-transcript synthesis. The lead-author validation step against verbatim transcripts. Anonymization at artifact-build time, with the real-name mapping kept confidential and never co-located with public artifacts.
The network synthesis spec. Node typology (resident, organization, systemic, alter), edge typology (fulfillment, deprivation, ambiguous), Maslow-level tagging, archetype computation (Transmuter, Absorber, Magnifier, Extractor, Conduit) per resident from the per-edge data.
Trauma-informed ethics protocols. Verbal consent. Pseudonym option offered at the start. Cash compensation at point of contact, not after consent forms. The protocol assumes participants have been burned by extractive research before and is designed around that assumption.

Contact the Foundation at sev@economyofwisdom.com to begin a replication conversation. The Foundation's interest in replication is reciprocal: each new community-scale instance strengthens the framework's empirical base.

See the Network

The pseudonymized DTES network is rendered as a force-directed graph at /network/. The fulfillment and deprivation edges, stratified by Maslow level with per-level filters, are at /flows/. A conceptual particle simulation of how the framework's flow primitives behave at population scale is at /simulator/.

Read the framework, the economic case, or the evidence anchor.