# kaal:claim:4755632-034

**Claim.** A sequenced two-stage vote, an informal community vote that reveals collective wisdom followed by a formal vote in which staked reputation tokens are at risk, gives job posters significant assurance that the reviewed code and the platform report meet the highest available quality standards.

**Type.** design  **Support.** argued

**Holds when.**

- applies to code reviews audited by the CRDAO community

**Source quote.**

> the CRDAO now votes in a formal vote in which the reputation tokens30 staked are at risk. This sequence of votes provides job posters with significant assurances that the code examined and the Code Review Platform report on the code adheres to the highest standards of quality

**From.** Wulf A. Kaal, *AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning* (2024), Community Audit, page 45

**Cite as.** Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632

**Verify.** sha256 of source PDF `972ccebf0c06ac1767a9e443bb95942b7670e806a63c25ee817c368a64c8eca8` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202024%20-%20AI%20Learning%20-%20Decentralized%20Governance%20to%20Optimize%20Human%20Output%20Datasets%20for%20AI%20Learning.pdf

**Topics.** compliance, governance-design, reputation, tokenomics

**Keywords.** community-audit, staked-voting, reputation-tokens, quality-assurance

**Related claims.**

- restates: https://wulfkaal.github.io/claims/4734750-029
- extends: https://wulfkaal.github.io/claims/4685567-020

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.