Recombination¶
DeFord, D., Duchin, M., & Solomon, J. (2021). Recombination: A Family of Markov Chains for Redistricting. Harvard Data Science Review, 3(1).
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Partition Dependence of Aggregates
- A redistricting commission exploits the same zoning effect deliberately: an identical voter distribution, partitioned into districts under different boundary maps, yields different partisan seat outcomes — gerrymandering is partition dependence weaponised, and the defence (compactness criteria, sensitivity to alternative maps) is the same intervention family used to constrain rather than exploit the free parameter.
This sourceDevelops ensemble (Markov-chain) sampling over the space of districting plans, showing that identical voter distributions yield different partisan outcomes under different maps and that compactness/sensitivity analysis constrains gerrymanders — partition dependence as the zoning effect weaponised. Resolves needs-source-462; authors, title, venue confirmed.
Supported in partVerified against the work's full text
Supports that fixed voting patterns can yield a range of seat outcomes across alternative valid plans, and that ensembles and compactness rules are used against gerrymanders; no 'partition dependence' framing.
“the structural features of the geography and the pattern of voting held constant”
- A redistricting commission exploits the same zoning effect deliberately: an identical voter distribution, partitioned into districts under different boundary maps, yields different partisan seat outcomes — gerrymandering is partition dependence weaponised, and the defence (compactness criteria, sensitivity to alternative maps) is the same intervention family used to constrain rather than exploit the free parameter.
Verification¶
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Registry ID ref:a59f591c737b · see in the full table