# Representativeness

`kaal:entity:representativeness`

**Status.** derived

This node is assembled mechanically from the 3 claims that carry the concept tag `representativeness`. 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, 2012 to 2024.

**2012**

- [2150377-019](https://wulfkaal.github.io/claims/2150377-019) [empirical/evidenced] -- Comparison of the responding sample against the full registered population on Form ADV parameters shows the sample is not biased toward any particular subgroup of hedge fund advisers, and gives no indication that respondents differ from nonrespondents.
  > The descriptive statistics demonstrate that the sample is not biased and does not favor a particular subgroup of hedge fund advisers.189 There is no indication that respondents who did respond to the survey were different from individuals who did not respond.
  Wulf A. Kaal, Hedge Fund Manager Registration Under the Dodd-Frank Act (2012). SSRN: https://ssrn.com/abstract=2150377

**2014**

- [2447306-007](https://wulfkaal.github.io/claims/2447306-007) [failure/evidenced] *(failure mode)* -- Enlarging the sample does not cure selection bias in non-statistical sampling: a bigger sample neither compensates for the bias of non-statistical techniques nor guarantees that the sample is representative.
  > Increasing the sample size does not necessarily compensate for the potential selection bias of non-statistical techniques or guarantee the representativeness of the sample.
  Wulf A. Kaal, Private Fund Disclosures Under the Dodd-Frank Act (2014). SSRN: https://ssrn.com/abstract=2447306

**2024**

- [4796714-040](https://wulfkaal.github.io/claims/4796714-040) [failure/argued] *(failure mode)* -- The hybrid model falls short of full community co-governance because it relies on a select group of experts for data validation and therefore may not capture the diverse perspectives and expertise of the broader community.
  > This is a significant step beyond the hybrid approach, which, while incorporating community input, primarily relies on a select group of experts for data validation and may not fully capture the diverse perspectives and expertise of a broader community.
  Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714

## 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/representativeness.md | sha256sum

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