Brian Miller Interview, July 11, 2022
Bibliographic record
Abstract
In Brian Miller’s second interview, he remembers being five years old with his father, Gene Miller, on Mormon Peak Lookout. He recalls his mother and sister visiting when his mother rushed Gene to the hospital for gall bladder surgery. Brian tells of being on Sliderock Lookout next, which had a microwave repeater nearby, affording the lookout with electricity. Sliderock also had a cabin at the base of the lookout, a small rundown cabin next to the lookout, and the original lookout: a tree with rungs nailed to it. Brian says there was an old ghost town on the way up the road. He recalls his uncle’s car losing the oil pan on the way down, and they had to walk for help. He discussed the 1988 fires; walking from Mexico to Canada in 1993 along the Continental Divide; and exploring and renting these lookouts, some while skiing to them with his wife: West Fork Butte, McGuire, Hornet, Mt. Wam, Webb Mountain, and Stahl Peak. Brian talks about Sliderock Lookout being moved by helicopter to Fort Missoula as a museum piece. Brian says his strongest memories of being a lookout are dramatic weather and the people he has met.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.094 | 0.030 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".