# kaal:position:2026-07-31-071

**Affirmed position.** Dynamic Regulation of Public Good Quality should be assessed against Kaal's source-bound claim that The feedback process between public and private rulemakers increases the availability, timeliness, and quality of information available to the public rulemaker, which induces and supports a learning process and creates incentives for that learning. The current metadata indicates a plausible connection through dynamic regulation, but the defensible response is a qualification until the source text confirms agreement, scope, methods, and limitations.

**Status.** affirmed  **Published.** 2026-07-31

**Holds when.**

- Apply only within the source-bound Kaal claim's stated scope.
- External evidence level: metadata only.
- Mapping review tier: high-confidence claim review.
- The primary literature-to-claim mapping cleared the automated ambiguity test.

**Current debate.** Dynamic Regulation of Public Good Quality: https://www.semanticscholar.org/paper/35ff041040873c8795b6092fca996034069466b0

**Extends.** kaal:claim:2267560-028: https://wulfkaal.github.io/claims/2267560-028

**Scholarly basis.** Wulf A. Kaal, Evolution of Law Dynamic Regulation in a New Institutional Economics Framework (2013). SSRN: https://ssrn.com/abstract=2267560

**Source PDF sha256.** `7ecc9dd1826121a95bf252476cdaa1c8737ad8079e12caf66c4342ffae7af8af`

**Evidence level.** metadata only

**Mapping review tier.** high-confidence claim review

**Mapping confidence.** 0.99  **Mapping ambiguous.** false

**Topics.** institutional-design, dynamic-regulation

**Provenance.** Affirmed in historical-backfill:2026-07-31:phase-0001 at https://kaal-signal-desk.wulf577462.chatgpt.site/#review.

**Record type.** This is a dated commentary position that extends a scholarly corpus claim. It is not a verbatim claim extracted from the paper.

**Canonical form.** This markdown file is the canonical hashed representation of the position.