Add balanced Article Lab research - #15
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| - id: webb-2020-legislative-complexity | ||
| title: "The Drafters’ Dance: The Complexity of Drafting Legislation and the Limitations of ‘Plain Language’ and ‘Good Law’ Initiatives" | ||
| authors: "Thomas E. Webb" |
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This source metadata is incomplete: the DOI landing page for this Statute Law Review article lists Robert Geyer as a coauthor with Thomas E. Webb, so the ledger's authorship/provenance record is inaccurate for the Article Four claim that depends on this source.
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Purpose
Begins a two-sided reviewed research program for the eight Rights Article Labs. The existing schema calls the assenting direction
supportand the challenging directiondissent; this change gives every Article at least one reviewed claim in each direction without treating citation counts as votes or research as substitute canon.What changed
The Article Lab renderer already resolves claims by canonical unit id, so the new cards appear through the existing data path without changing canon or duplicating research into the Lab application dataset.
Evidence and authority boundary
Each source is classified against one bounded claim, not for or against an Article as a whole. Source quality, relevance, method, and limitation remain visible. Legal doctrine, operational frameworks, experiments, historical comparisons, systematic reviews, and quasi-experimental studies retain their different evidentiary statuses.
The canonical text remains
wayseer00/main:canon/INTERDEPENDENT_WAY.txt. No research record amends, supersedes, or silently interprets that source as canon.Usage guidance
npm testornpm run check; the research-ledger test rejects missing sources, unknown references, duplicate identities, or an Article losing either reviewed direction.Validation
supportand onedissentclaimnode --check4e71af5f67f6fd7ab05450a8c979344e9bce9765hmmm
This is an opening research tranche, not a comprehensive literature review. The next useful passes should deepen each Article with replication, systematic review, jurisdictional diversity, implementation evidence, and high-quality challenges to the present classifications.