The master codebook
All policy coding on this site follows the Comparative Agendas master codebook — 21 major topics, codes 1–10, 12–21 and 23, each opening into subtopics. Codes 11 and 22 were retired from the original US scheme and never reused, so the gaps are deliberate and decades of coded data stay comparable. The codebook is maintained by CAP, not by this site, and is the authoritative reference for what any code means. Media sources carry a further extension — codes 24 to 41, for obituaries, sport, weather, advertising and the like, plus a ‘no policy content’ outcome. Those are not master-codebook topics and are excluded from every policy figure here.
Which topic set
Aggregates and article-level labels on this site use the CAP major-topic set. Where a figure reports a process share, that is major topic 20, Government Operations. Treat it as an UPPER BOUND, not a clean measure of campaign coverage: 20 is a substantive policy topic in its own right — appointments, procurement, tax administration, the civil service — and campaign coverage is only the 2012 Political Campaigns subtopic beneath it. Measured on the Maine press for the 90 days to 24 August 2026, 973 of 1,893 code-20 articles carried subtopic 2012; the remainder is largely government-operations policy. A subtopic-level process share would be the sharper measure, and is not what the figures on this site currently report.
How far to trust a subtopic
Two audits of the Maine corpus, both run on 25 August 2026, put limits on the subtopic field. First, nesting: 2,452 of 8,672 policy-coded articles carrying a subtopic — 28.3% — were given one that belongs to a different major topic than the article's own, which is not a valid code combination. Second, stability: among 2,165 groups of byte-identical article text republished across outlets, the same classifier returned a different major topic for 10.9% of them and a different subtopic for 17.1%. Both numbers are self-consistency measures, so they bound reliability from above rather than measuring accuracy. Read any single subtopic as a hint, not a fact, and treat the major-topic figures — which is all this site reports — as the trustworthy layer.
Human and automated coding
The archival series are human-coded. The contemporary corpus is classified automatically, using models trained on human-coded examples and checked against held-out human-coded sets. The two are not interchangeable, and figures on this site say which they rest on.
Social-group labels
The group tags on article lists are dictionary matches over each headline and the opening of the article, not classifier output and not part of the CAP scheme. They are a working draft of a category scheme still being designed.