Start with the map. Packs 1–4 form the care cycle, Pack 5 scales that cycle across organisations, and Pack 6 keeps every deployment local, plural and ready to end. The map is the framework index: pack stations open their chapters, measure links land on the audit entries below, and handoffs show what each phase gives the next.¶ 1 (permalink to paragraph 1)

Framework map

The care cycle — Packs 1–4

Pack 1 · Attentiveness

Headline measureRepresentation gap

Pack 1 · Attentiveness hands to Pack 2 · Responsibility: who, what, why + rights flags

Pack 2 · Responsibility

Headline measurePromise fidelity

Pack 2 · Responsibility hands to Pack 3 · Competence: specs, SLAs, brakes

Pack 3 · Competence hands to Pack 4 · Responsiveness: traces, incidents

Pack 4 · Responsiveness hands to Pack 1 · Attentiveness: new needs restart the cycleback to Pack 1

The field between organisations

Pack 5 · Solidarity

Headline measureUncommon-ground index

Pack 6 · Symbiosis — the boundary in time

Headline measureExit readiness

Pack 6 keeps each pack from its negation — surveillance · contractual trap · indispensability · dependency-as-care · uncontrolled infrastructure — and guards itself: symbiosis without service continuity becomes abandonment.

Each pack descends in layers: closing image → pattern → buildable tools → named instruments → diagnostics → one headline measure.

Start with a question you can ask

You do not need a dashboard to begin. Ask your school, care provider or residents’ group: “Who did we miss?”, “Who promised to act?” or “What changed after someone said it went wrong?” Follow the relevant pack below and ask to see the record. A bridging map shows whose account was heard; an obligation ledger names a promise and its owner; a repair log records what happened after an appeal.¶ 2 (permalink to paragraph 2)

Each pack then answers its own public audit question, with one headline public measure and supporting diagnostics.¶ 3 (permalink to paragraph 3)

These six measures are our proposals for public evaluation and have not been validated as measurement standards. Their definitions and thresholds need testing with the people affected.¶ 4 (permalink to paragraph 4)

These metrics are designed for sufficiency, not maximisation. Each deployment context defines a threshold: “good enough” for that community. Crossing it is the goal, and chasing a higher score risks the same metric gaming the 6-Pack warns against. A headline measure is a public test, not a totalising score.¶ 5 (permalink to paragraph 5)

Headline public measures

Representation gap. The Attentiveness measure: Which materially affected groups are still missing or badly under-represented in the record?¶ 6 (permalink to paragraph 6)

Traditional Mandarin name
代表性落差
Diagnostics
Coverage of affected people; voice equity between least-heard and most-heard groups.
Refuses
Counts only when the least-heard groups gain real standing in the record. Averaging dissenters into the middle narrows the gap on paper and earns no credit.
Threshold
Set by each deployment context: “good enough” for that community.
Read as
A public test.

Promise fidelity. The Responsibility measure: What share of material obligations are explicitly owned, properly authorised, and kept on their published terms?¶ 7 (permalink to paragraph 7)

Traditional Mandarin name
承諾保真度
Diagnostics
Named-owner coverage; authority-match rate; adopt-or-explain rate.
Refuses
Rewards promises that are owned and honoured. A promise that is merely well-worded earns no credit, so a high score needs authority and funding that match the duty.
Threshold
Set by each deployment context: “good enough” for that community.
Read as
A public test.

Verified execution rate. The Competence measure: What share of audited decisions or releases pass guardrails, include a usable trace, and stay inside release bounds?¶ 8 (permalink to paragraph 8)

Traditional Mandarin name
經驗證的執行率
Diagnostics
Guardrail integrity; trace completeness; canary health; audit overturn rate.
Refuses
Rises only when an independent auditor can reconstruct the traces and the canaries cover the cases they claim to cover. Passing easy cases and calling the ceremony proof earns no credit.
Threshold
Set by each deployment context: “good enough” for that community.
Read as
A public test.

Trust-under-loss. The Responsiveness measure: After a bad outcome and attempted repair, do affected people report that the system became more trustworthy rather than less?¶ 9 (permalink to paragraph 9)

Traditional Mandarin name
失利下的信任
Diagnostics
Appeal closure time; repair completion rate; correction throughput ratio; correction backlog depth and age; harm recurrence within 90 days.
Refuses
Counts only when tied to an accountable identity and corroborated by an independent signal: a return to the service, an appeal withdrawn because the repair settled it (not abandoned from exhaustion), or a third party who can attest. A campaign can manufacture sentiment, and the actor who caused the harm can astroturf self-reported trust after a repair, so sentiment alone earns no credit.
Threshold
Set by each deployment context: “good enough” for that community.
Read as
A public test.

Uncommon-ground index. The Solidarity measure: Are shared decisions showing real cross-group participation and co-endorsement, rather than separate silos?¶ 10 (permalink to paragraph 10)

Traditional Mandarin name
罕見共識指數
Diagnostics
Portability success rate; accountable-identity coverage; federation participation, the structural conditions that keep co-action freely given.
Refuses
Rewards groups that listen across lines. A group that falls silent earns no credit, and neither does a group curated into agreement. Read the index against Pack 1’s representation gap, because the cheapest way to raise co-endorsement is to exclude whoever would withhold it.
Threshold
Set by each deployment context: “good enough” for that community.
Read as
A public test.

Exit readiness. The Symbiosis measure: Could this system hand over or shut down on schedule without rights loss, continuity failure, or recentralisation?¶ 11 (permalink to paragraph 11)

Traditional Mandarin name
退出就緒度
Diagnostics
Scope compliance; sunset compliance; ecology diversity; handover rehearsal pass rate.
Refuses
Counts only when a system can hand off or shut down on schedule without rights loss, continuity failure or recentralisation. An exit that exists only on paper earns no credit.
Threshold
Set by each deployment context: “good enough” for that community.
Read as
A public test.

Supporting diagnostics

Named instruments

The packs describe these tools so you can build them, or ask for them, without having read the book. Each supports a public audit question. A completed document alone does not show that care worked.¶ 18 (permalink to paragraph 18)

What each measure refuses to reward

Each headline measure also names what it must refuse, so a good number cannot pass for good care.¶ 30 (permalink to paragraph 30)

How to read them

Before you call it Civic AI

The measures above audit a running deployment. These six questions gate whether a deployment should carry the name at all:¶ 42 (permalink to paragraph 42)

  1. Human standing (Packs 1, 5) — can affected people prove standing without surrendering unnecessary identity?¶ 43 (permalink to paragraph 43)
  2. Adversarial load (Packs 1, 4, 5) — what stops synthetic publics, bots, or paid campaigns from flooding the channel?¶ 44 (permalink to paragraph 44)
  3. Decision force (Pack 2) — where does the output bind actual decisions, and where is it only advice?¶ 45 (permalink to paragraph 45)
  4. Repair path (Pack 4) — who can appeal, who pays for harm, and where is the repair logged?¶ 46 (permalink to paragraph 46)
  5. Exit capacity (Packs 5, 6) — can the community migrate, fork, pause, or shut down without losing service continuity?¶ 47 (permalink to paragraph 47)
  6. Boundary honesty (Pack 6) — what problem is out of scope, and who is carrying that problem instead?¶ 48 (permalink to paragraph 48)

If the answer to any of these is vague, the deployment is not ready. The aim is to make the people running it answerable.¶ 49 (permalink to paragraph 49)

Where the measures come from

The measures are ours. The ideas under them come from earlier work. “Sufficiency, not maximisation” is Herbert Simon’s satisficing (1955). The warning that a measure which becomes a target stops measuring has three classic statements: Campbell’s law (1979), Goodhart’s law (1975), and Marilyn Strathern’s shorthand for it (1997). “What each measure refuses to reward” is written against all three.¶ 50 (permalink to paragraph 50)

We propose trust-under-loss as a deployment test informed by procedural-justice research, including Tom Tyler’s Why People Obey the Law. That research does not validate this AI measure or guarantee that repair restores trust. The uncommon-ground index audits the cross-group signal that Aviv Ovadya’s bridging-based ranking uses to rank. Exit readiness is Albert Hirschman’s exit turned into a drill. The Sources page carries the full trail.¶ 51 (permalink to paragraph 51)

Pack 6: SymbiosisFAQ

The Trace

Amended
Stewards
Audrey Tang · Caroline Green
with jdd-kami · Tenzin Yangtso
Amended
· 44 recorded amendments since 20 Feb 2026
Full amendment ledger →
Source
measures.md · edit on GitHubhttps://github.com/audreyt/civic.ai/blob/main/measures.md
src/lib/conceptMap.ts · edit on GitHubhttps://github.com/audreyt/civic.ai/blob/main/src/lib/conceptMap.ts
CC0 public domainhttps://civic.ai/measures/
Evals
links ✓ passparity ✓ passterms ✓ passcontrast ✓ passsize ✓ passBuilt 2026-10-13T21:41:55.323Z · Full eval receipts (JSON)
Twin
地圖與衡量指標
Same record, same receipts.