What this view shows
The overview compares originalist, historical and determinate legal-materials vocabulary with other legal and moral-reasoning vocabulary, using rates per 10,000 words.
Supreme Court Religion Clause oral arguments, 1980-2025
Track text, history, tradition and original meaning across decades of oral argument transcripts, then inspect the words in context.
See the change for yourself
Research interface
Loading Supreme Court Religion Clause oral-argument transcripts.
At a glance
Loading corpus trend...
Headline vocabulary comparison chart
Line chart comparing originalist vocabulary with other reasoning vocabulary.
The overview compares originalist, historical and determinate legal-materials vocabulary with other legal and moral-reasoning vocabulary, using rates per 10,000 words.
Word counts point to patterns; KWIC lets a reader confirm whether a hit reflects meaningful legal argument.
Trends
Each line is normalized per 10,000 words.
Cases
Ranked by selected word-list rate per 10,000 words.
| Rank | Case | Year | Rate | Hits | Top matched terms |
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KWIC Context
Search a dictionary term or a custom phrase, then inspect the transcript turn.
| Case | Year | Speaker | Role | Term | Context |
|---|
Co-occurrence
Counts are case-level co-occurrences under the current filters.
Data/Export
Exports reflect the current dashboard filters.
| Case | Year | Words | Selected hits | Rate |
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Methods
A condensed methods page; the full dictionary details remain below.
The pilot studies Supreme Court Religion Clause oral arguments from 1980 through 2025. Transcript turns are organized by case, year, speaker, speaker role, Religion Clause type and legal framework so aggregate trends can be checked against case-level examples.
The dictionaries capture doctrinal vocabulary, precedent anchors, textual argument, historical/original-public-meaning language, RFRA/RLUIPA terms and other legal-reasoning families. They are transparent seed lists: useful for finding patterns, and open to refinement as the corpus is reviewed.
The word lists are overlapping lenses rather than sealed categories. A single exchange can invoke doctrine, precedent, text, history, liberty and administrability at once, which is why the app pairs headline trends with dictionary-level views.
Counts are scaled as hits per 10,000 transcript words. This keeps long arguments from overwhelming short arguments simply because they contain more words.
A dictionary hit may be meaningful, quoted, rejected or incidental. KWIC review supplies the close reading because terms such as history, tradition or neutrality can carry different legal meanings in different transcript turns.
The pilot produces case-level summaries, normalized trend evidence, co-occurrence leads and examples for close reading. Those outputs can support a larger project on originalism and constitutional argument across additional sources and constitutional domains.
Why it matters
If constitutional argument has become more originalist, that shift should leave traces in how advocates and justices talk about text, history, tradition and original meaning.
The point is not to replace legal judgment with word counts. It is to make a claim testable, then bring the transcript language back into view.
Trend, ranking and KWIC context together give scholars a fast way to find examples, challenge impressions and develop better questions.
Scope and method
The full methods and dictionary details are now available in the dashboard Methods tab, with a shorter summary here for readers who are just arriving.
The pilot counts defined word lists in Religion Clause oral-argument transcript turns, normalizes rates per 10,000 words, and keeps KWIC context available for validation.
The same architecture can be tailored for other constitutional domains, briefs, opinions or justice-level research questions.
Imagine what comes next
This Religion Clause pilot is a starting point. The same core technology can be shaped around the sources, vocabulary and interpretive questions that matter to a specific scholar.