Campaign: One letter sent by 10 or more people, copied or lightly reworded. It counts as one unique comment. The record does not say which organisation ran it.
Submissions received each day. Tap or hover a bar for its count.
As sent in FS-2025-0001-285538, the comment that stands for the group.
These results are meant to be shared.
How it works. Position and topic classification is performed by a large language model (the open-weight Qwen3.8 27B) that reads each comment and labels its position — supports, opposes, or neutral — and the topics it raises. Copies and campaigns are found by hashes of the text and the overlap of six-to-eight-word phrases, grouped into text families; every unique figure counts one family once. Sentence embeddings (Qwen3) find reworded templates, shown under Organized campaigns, and cross-check the families; lexical, syntactic and stylometric features (TF-IDF, spaCy) score each comment’s originality for review. Neither decides a copy count. The full method is on the Methodologies page of roadless.org.
The full method. Every step, why it is done that way, its known limits and a glossary: Methodologies →
The data. The full canonical dataset — every comment on Docket FS-2025-0001 — is available from Regulations.gov's bulk download, the canonical source: https://www.regulations.gov/bulkdownload. Download the CSV directly (Regulations.gov keeps this link working until October 18, 2026): https://bulk-downloads.regulations.gov/mv4-z8fw-q5jx.csv.
Roadless.org — analysis of the public comment docket.
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