# Quality assurance

`kaal:entity:quality-assurance`

**Status.** derived

This node is assembled mechanically from the 3 claims that carry the concept tag `quality-assurance`. It is a roster of what the corpus says under this term. It is **not** an adjudicated definition: no single statement here has been ruled canonical, and no first-appearance call has been made. Read the claims and judge for yourself.

## Every claim under this term

3 claims across 2 works, 2024 to 2024.

**2024**

- [4734750-029](https://wulfkaal.github.io/claims/4734750-029) [design/argued] -- The community audit should proceed in two stages: an informal vote that reveals collective wisdom to all members, followed by a formal vote in which staked reputation tokens are at risk, and this sequence gives job posters significant quality assurances.
  > Once the entire community knows how each member feels about the code review examined, the CRDAO now votes in a formal vote in which the reputation tokens staked are at risk.
  Wulf A. Kaal, Code Review DAO (2024). SSRN: https://ssrn.com/abstract=4734750
- [4734750-033](https://wulfkaal.github.io/claims/4734750-033) [failure/argued] *(failure mode)* -- Human limitations such as limited attention span, irrationality, and inaccuracy force verification of micro task work, but manual verification does not solve the problem because verifiers are subject to the same human limitations.
  > However, manual verification of micro task work is subject to the same human limitations.
  Wulf A. Kaal, Code Review DAO (2024). SSRN: https://ssrn.com/abstract=4734750
- [4755632-034](https://wulfkaal.github.io/claims/4755632-034) [design/argued] -- 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.
  > 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
  Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632

## Verify

Every claim above resolves to a record carrying a verbatim source quote, the sha256 of the source PDF, and a preformatted citation. Nothing here asks to be taken on trust.

    curl -s https://wulfkaal.github.io/entities/quality-assurance.md | sha256sum

**Canonical form.** This markdown file is the canonical hashed representation of this entity node. Its sha256 is the content hash.