Bibliographic record
Abstract
... 3 April 1934–29 August 2020 Ronald W. Goede passed away, age 86, of complications related to cancer. His last days were at home under hospice care with his wife Lisa and family at his side. He was born in Columbus, Nebraska, and graduated from high school in Lincoln. Ron served 8 years in the Air Force and earned a BS from the University of Nebraska, majoring in zoology and botany. He completed a MS in fisheries biology at Utah State University in 1961. His career began with the Missouri Conservation Commission as a research biologist and expanded to training in fish disease at the Fish Farming Experiment Station at Stuttgart, Arkansas. In 1963, Ron was hired as Missouri’s first hatchery biologist, where he was sent to the Eastern Fish Disease Laboratory in Leetown, West Virginia to study fish diseases under his mentor, Stan Sniesko. In 1966, Ron was recruited by the Utah Department of Fish and Game. He served for 34 years as director of the Fisheries Experiment Station in Logan, retiring in 2000. As the sole state fish pathologist, Ron directed efforts on standard aquaculture methods, fish quality, health management, and disease control, while building a full‐service diagnostic lab. He wrote policies, rules, and regulations for Utah’s public and private hatcheries and fought for their implementation during a time when IPN (viral disease) and whirling disease plagued the resource. Ron developed and presented a drainage concept of disease control, which was approved and adopted by all seven states of the Colorado River Wildlife Council in 1972. This initiative became a template for the states of the Great Lakes Commission and Canada, the Atlantic Seaboard, and the Columbia River drainages, effectively changing disease management nationwide.
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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.446 | 0.276 |
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".