# Token incentives

`kaal:entity:token-incentives`

**Status.** derived

This node is assembled mechanically from the 3 claims that carry the concept tag `token-incentives`. 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 3 works, 2019 to 2024.

**2019**

- [3373393-031](https://wulfkaal.github.io/claims/3373393-031) [mechanism/argued] -- The unifying interest of DAO token holders in raising token value means they will voluntarily perform optimization tasks, because doing so is directly in their own interest.
  > the DAO token holders will desire to perform such optimization tasks as it is in their very interest to do so to help increase the value of the DAO tokens.
  Wulf A. Kaal, Blockchain Solutions for Agency Problems in Corporate Governance (2019). SSRN: https://ssrn.com/abstract=3373393

**2021**

- [3782201-027](https://wulfkaal.github.io/claims/3782201-027) [failure/argued] *(failure mode)* -- Because DAO performance assessment is based on optimizing fungible token value rather than on hierarchical or political processes, the focus on token value enhancement can lead to short termism and may cause ethical and governance issues to be ignored.
  > Yet, the focus on the value en- hancement of fungible tokens can lead to short-termism and may ignore ethical and governance issues.
  Craig Calcaterra, Wulf A. Kaal, Future of Decentralization (2021). SSRN: https://ssrn.com/abstract=3782201

**2024**

- [4855607-027](https://wulfkaal.github.io/claims/4855607-027) [design/argued] -- Because annotating large datasets is labor intensive and expensive, smart contracts that reward community members with tokens for annotation are needed to sustain a steady flow of high quality labeled data for deep learning.
  > Annotating large datasets is labor-intensive and expensive. Using smart contracts, web3 can incentivize community members to annotate data by rewarding them with tokens. This system ensures a steady flow of high-quality labeled data, crucial for training deep learning models.
  Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607

## 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/token-incentives.md | sha256sum

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