Campaign — One letter sent by 10 or more people, copied or lightly reworded. One of 12 submissions in its group; the sender added words of their own. See the letter, its submissions and topics.
In short: The comment places on the record specific data regarding wildfire causation and road proximity, cites multiple Tribal leaders' statements regarding the Tongass National Forest, and asserts that the agency's draft EIS incorrectly characterizes the rescission of the Roadless Rule as a wildfire solution while failing to meet constitutional and trust obligations for government-to-government consultation.
Scored as the letter — The shared letter of a family, scored once for everyone who sent it.
Shaded passages are the ones the analysis quoted as evidence for a dimension: Analytical gapEvidenceLegal
Each dimension is scored 0–3; the eight sum to the substance score out of 24.
A3 weak: Substantive, but easier to set aside.
Owed an answer on Evidence.
These results are meant to be shared.
How it works. A large language model (an open-weight Qwen3.8 model) reads each substantive comment and copies, word for word, the passages that carry its analytical gap, evidence, request, alternative and connection to the place; it returns no scores. Code grades those passages 0–3 on eight dimensions — evidence, legal grounding, engagement with the environmental analysis, analytical gaps, alternatives, specific requests, position, and local knowledge — with legal grounding taken from a citation scan, not the model. For the strongest tenth on each side, the copied passages are checked against the comment and shown as exhibits. A comment counts as “substantive” when it clears a floor filter — it must show at least one substantive signal (a named entity, a specific citation, a stated analytical deficiency, or first-person testimony), which screens out one-line and purely conclusory submissions before any model scoring.
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.
Media inquiries welcome — nicholas@wanderingnature.com.
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