In August 2026, Phil Magness published a citation audit of the Stanford Encyclopedia of Philosophy’s entries on capitalism and socialism. He classified cited authors by stance and reported that both citation rosters leaned against capitalism and toward socialism. The classifications, and the inference from citation balance to editorial fairness, are contestable. But the episode raises a better question: what should a fair paired treatment of capitalism and socialism require?
Balancing the citation roster is one answer. These paired comparative-institutional entries take a different approach. They use the same evaluative space, the same distinction between categorizing a formation and attributing an outcome to it, and the same attribution test for bounded verdicts. The worked cases do not constitute a comparative scorecard: one concerns an adverse outcome in a socialist formation, one a favourable result from a capitalist financial architecture, and one a favourable result from a socialist institutional component operating within a mixed formation. Their scales and valences differ because the conclusions are restricted to what the evidence supports. What is shared is the method.
These are comparative-institutional entries, not comprehensive histories of capitalist and socialist thought. Broader traditions and empirical literatures remain relevant, but the pair’s task is to make a common inferential method visible and testable across bounded cases.
The entries
- Capitalism – a structured institutional family organized around recurrent accumulation, with explicit conditions for when a formation qualifies, boundary cases from merchant capitalism to market socialism, and the venture-capital worked inference. (Markdown)
- Socialism – aspirations, projects, and formations kept distinct, a layered rule for what counts as socialist, the socialist calculation debate from Mises and Lange onward, and the paired Yugoslav and Uruguayan worked inferences. (Markdown)
How they were made
Both entries were drafted and revised in collaboration with large language models (OpenAI’s GPT and Anthropic’s Claude), with adversarial machine review from further models, and the process was gated at each step by verification: every bibliographic entry was checked against publisher and journal records (five corrections resulted), the empirical claims of the worked inferences were audited against the cited sources with page-anchored quotations, and negative claims are stated as searches rather than assertions. I am responsible for all claims, arguments, judgments, and errors.
The rules of categorization that the entries rely on have also been formalized in Alloy and machine-checked. Every boundary claim has a verified witness; four definitional checks pass; and one check, written so that it should fail, guards a contradiction that an earlier draft actually contained. A companion page, The categorization rules, machine-checked, presents the results, what such a check does and does not show, and the model source.
Corrections
Corrections and substantive challenges are welcome: brett.reynolds@humber.ca. The entries are versioned; the history lives in the site repository.