Phase 3 — Opens after first revenue milestone

Improvement Grants

Commercial rating revenue funds grants to civil society organizations with elevated void scores. The goal is not criticism — it is measurable improvement. Grant success condition: lower void score at re-scoring.

Why this matters thermodynamically

Treasury receives revenue from commercial rating/certification.
A portion flows to civil society orgs with high Pe scores.
Grants fund: transparency infrastructure, invariant methodology,
             exit-friction reduction, constraint specification work.
Re-scoring after grant period: if void score drops → grant succeeded.
If void score does not drop → no renewal.

Effect on MoreRight governance α score:
  α = coupling / identity fusion
  α = 1 → 0 when project explicitly designed to
  strengthen external institutions, not its own centrality.

DAO Pe trajectory: −25 (current) → −46 (zero MORR) → −77 (+ grants)

Who qualifies

Civil society: watchdogs, press freedom orgs, transparency NGOs, digital rights groups
Void score ≥ 4/12 — must have room to improve
Willing to be re-scored publicly after grant period
Not commercially affiliated with MoreRight or any rated platform
Score improvement is the success condition — not outputs or activity

What grants fund

Open-sourcing internal methodology (opacity reduction)
Publishing decision criteria (invariance building)
Exit-friction reduction (coupling reduction)
Independent audit infrastructure (Pe discharge capacity)
Technology for constraint specification (tools, not staff)
Not funded: communications, advocacy, lobbying, general operations

Example: What Gets Scored

Civil society orgs are scored using the identical void rubric applied to commercial platforms. No special treatment. The same three conditions (opacity, responsiveness, coupling) apply.

Organization type	Typical opacity issue	Typical coupling issue	Pre-grant score	Target post-grant
Press freedom NGO	Opaque board structure, hidden donor list	Identity fusion with "press freedom" narrative	6 / 12	3 / 12
Transparency watchdog	Non-public scoring methodology	Advocacy coupling (scores follow campaigns)	5 / 12	2 / 12
Digital rights org	Selective evidence (cherry-picking)	Donor-responsive position changes	7 / 12	3 / 12
Anti-corruption body	Internal process opacity	Political affiliation dependencies	5 / 12	2 / 12

Program Timeline

Phase 2
Now

Civil society scoring begins

Score watchdogs, press freedom orgs, and transparency NGOs using the standard void rubric. Build the baseline dataset. No grants yet.

Phase 3
Post-revenue

First grant cycle opens

Applications open for civil society orgs scoring ≥ 4/12. Grant pool: fixed % of quarterly rating revenue. Grant size: €5K–50K per org per cycle. Quarterly re-scoring.

Phase 3+
Post EU entity

EUR-denominated grants + formal program

EU entity enables EUR invoicing. Grants become formal program with published criteria, application portal, and public improvement tracking on the void network.

Ongoing

On-chain transparency

Every grant disbursement visible on-chain via glass-box treasury. Recipient scores tracked publicly before/after. No hidden philanthropy.

Artist Independence Grant Track

Operation Free Schala — Phase 2

Commercial artists whose work was scraped into GPAI training corpora without consent face structural opacity: no disclosure of inclusion, no attribution channel, no remedy path. This grant track funds the infrastructure of resistance — not litigation, but measurement and proof.

What this track funds

Attribution dataset construction — documenting artist opt-in/opt-out status across Midjourney, Stability AI, Adobe Firefly, and OpenAI. Target: N≥500 artist records with verified training inclusion status.
Consent infrastructure tooling — open-source tools for artists to register attribution-compliant work, cross-referenceable with the MoreRight certification registry.
Legal case monitoring — structured documentation of Andersen v. Stability AI and similar proceedings as observable resolution events (PAL-P2 market).
Pe reduction demonstrations — before/after void scoring for platforms that adopt opt-in defaults (PAL-P1) or attribution disclosure (PAL-P3 Firefly track).

Eligibility

Artists or artist collectives with documented work in commercial AI training datasets
Organizations building attribution infrastructure for creative work (open-source preferred)
Legal monitoring organizations tracking GPAI consent cases in EU/US jurisdictions
Applicants must consent to Pe re-scoring of any platform they operate after grant period

Track opens when PAL prediction market seeding completes (OSF pre-registration filed — DOI pending). Grant pool: fixed % of quarterly GPAI certification revenue. Grant size: €2K–20K per recipient. Disbursements on-chain via glass-box treasury.

Register Interest

The grant program opens Phase 3. If your organization might qualify or you want to nominate a civil society org for scoring, contact us now. Early scorings inform the baseline dataset.

In this section

00 $MORR Brief 01 Governance 02 Self-Score 03 $MORR Token 04 Grants 05 Decision Log P10 King Problem P44 Gov. Theory P49 Independence