House Detail, Window with Signs and Sculptures
Bibliographic record
Abstract
Frank “Rolling Mountain Thunder” Van Zandt Frank Van Zandt was born in Oklahoma in 1920. He held that he was 1/4 Creek Indian, and eventually adopted the Creek tribal name Chief Rolling Mountain Thunder (1920-1989). He had many occupations prior to moving to Thunder Mountain. He fought in WWII, worked as a deputy sheriff, was an assistant pastor of a Methodist church, a private investigator, a cab driver, a gold miner, and a sculptor. This all changed in 1968 when he founded what would become known as Thunder Mountain, an odd assortment of buildings and sculptures off Interstate 80. The stories of how and why he founded Thunder Mountain are varied, indeed he often gave conflicting reports. He claimed that an old medicine woman told him that only those who lived at Thunder Mountain would survive the end of days. He also claimed to have had a prophetic dream in which a large eagle told him to make his nest at Thunder Mountain. It is said that he found the land after randomly pulling off of the interstate. He squatted on the property initially before purchasing the site. After he purchased the land, he got to work. He incorporated found objects from the surrounding area. Cars, bottles, bedsprings, anything was fair game. He was assisted in his endeavors by various hippies and outsiders who stopped in. His intention was to make a monument to Native Americans to help raise awareness of their plight. In 1983, a fire wiped out most of the buildings. He received a Governor's Art Award in 1983. In 1989 he committed suicide. Thunder Mountain was added to the Nevada State Register of Historic Places in 1992. His son Dan now owns and manages the site. Images and film are provided for educational purposes only. May not be reproduced in any form without written consent. ©University of North Dakota. All rights reserved.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.826 | 0.573 |
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".