# Reputation score

`kaal:entity:reputation-score`

**Status.** derived

This node is assembled mechanically from the 6 claims that carry the concept tag `reputation-score`. 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

6 claims across 4 works, 2018 to 2024.

**2018**

- [3128900-026](https://wulfkaal.github.io/claims/3128900-026) [mechanism/argued] -- Reputation scores clear the market on both sides: a low requester score makes workers less likely to accept that requester's offers, and a low worker score reduces the worker's likelihood of retention.
  > If requesters have a lower reputation score, workers become less likely to accept requesters' offers. In turn, low reputation scores for micro task workers result in a lower likelihood of retention for micro task work on the Semada Network.
  Wulf A. Kaal, Decentralized Mechanical Turk Through Verified Reputation (2018). SSRN: https://ssrn.com/abstract=3128900
- [3128900-027](https://wulfkaal.github.io/claims/3128900-027) [mechanism/argued] -- Because requesters select workers by reputation score, workers acquire an incentive to keep their scores high by performing tasks with high accuracy and efficiency.
  > Requesters can select workers based on their reputation score, giving workers an incentive to keep the reputation scores high by performing micro tasks with high accuracy and efficiency.
  Wulf A. Kaal, Decentralized Mechanical Turk Through Verified Reputation (2018). SSRN: https://ssrn.com/abstract=3128900
- [3128900-028](https://wulfkaal.github.io/claims/3128900-028) [design/asserted] -- The reputation score mechanism serves a discriminating function, separating malicious actors from simple mistakes and protecting workers and verifiers against fraudulent requesters and badly designed requests.
  > The reputation score mechanism helps discern malicious actors and simple mistakes. It also protects workers and verifiers from fraudulent requesters and suboptimally designed requests.
  Wulf A. Kaal, Decentralized Mechanical Turk Through Verified Reputation (2018). SSRN: https://ssrn.com/abstract=3128900

**2021**

- [3931933-025](https://wulfkaal.github.io/claims/3931933-025) [definitional/asserted] -- A voting associate's SDAO reputation score is determined by that associate's merit, level of activity, and engagement in the SDAO.
  > The respective SDAO reputation score of each VA, in turn, is determined by their respective merit, level of activity, and engagement in the SDAO.
  Wulf A. Kaal, Hybrid Secure Proof of Stake (2021). SSRN: https://ssrn.com/abstract=3931933

**2022**

- [4067783-017](https://wulfkaal.github.io/claims/4067783-017) [design/asserted] -- Workable DAO governance should account for reputation with non-fungible tokens or weighted keys rather than fungible tokens, so that voting weight tracks reputation instead of purchasing power.
  > 1. Non-fungible Tokens or weighted keys, among other electronic accounting methods as accounting for reputation score NOT fungible tokens
  Wulf A. Kaal, DAO Fallacies (2022). SSRN: https://ssrn.com/abstract=4067783

**2024**

- [4685567-039](https://wulfkaal.github.io/claims/4685567-039) [definitional/argued] -- Because reputation merit scores are calculated in an immutable and attack resistant manner, they can be aggregated across the many communities an individual belongs to, producing a constantly evolving WEB3 identity score comparable to a credit score.
  > scores are calculated in an immutable and attack-resistant manner. Therefore, the scores can be aggregated for an individual who is a member of many different communities. The aggregated score creates a constantly evolving identity score in WEB3 systems that can be compared with a credit score.
  Wulf A. Kaal, Impact Investing Innovation - From Impact 1.0 to 3.0 (2024). SSRN: https://ssrn.com/abstract=4685567

## 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/reputation-score.md | sha256sum

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