English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The Constitutionally mandated task of assigning Congressional seats to thevarious U.S. States proportional to their represented populations ("accordingto their numbers") has engendered much contention, but rather less consensus.Using the same principles of entropic inference that underlie the foundationsof information theory and statistical thermodynamics, and also enjoy fruitfulapplication in image processing, spectral analysis, machine learning,econometrics, bioinformatics, and a growing number of other fields, we motivateand explore a method for Congressional apportionment based on minimizingrelative entropy (also known as Kullback-Leibler divergence), or, equivalently,maximizing Shannon entropy. In terms of communication theory, we might say thatthe entropic apportionment gives each constituent as equal a voice as possible.If we view representational weight as a finite resource to be distributedamongst the represented population, the entropic measure is identical with theTheil index long employed in economics to measure inequality in thedistribution of wealth or income, or in ecology to measure the distribution ofbiomass or reproductive fitness. Besides Congressional apportionment, themethod is also directly applicable to other multi-regional ormulti-constituency legislatures, to party-list proportional voting systems usedin various parliamentary elections, and similar settings, where the task is toallocate a discrete number of seats or other resources, and the primary goal isone of maximal proportionality or equity. In addition, the same entropicfigure-of-merit can be used in parallel to compare different choices for thetotal number of representatives, and then subsequently to assess differentCongressional district sizes, after seats are assigned and proposed districtboundaries drawn.

The Census and the Second Law: An Entropic Approach to Optimal Apportionment for the U.S. House of Representatives