Jack Lentfer oral history transcript
Bibliographic record
Abstract
Jack Lentfer oral history interview as conducted by John Cornely.\n\nMr. Lentfer started working for the Montana Fish and Game, then to Alaska to work for River Basin Studies, then the Alaska Department of Fish and Game. He has served on the Marine Mammal Commission as a commissioner. an Earth Watch volunteer, and also worked on the Polar Bear Treaty Act. Mr. Lentfer worked on the following projects while in Alaska: identified fish species and distribution in Yukon River prior to water development projects; planted rainbow trout in a lake across from Kachemak Bay; in Homer, Alaska worked on a weir on the Anchor River monitoring salmon; River Basin Studies on the Susitna River; Copper River spawning ground surveys on salmon; Bradley Lake Project concerning propose dam; Grayling Study on Chatanika River; polar bear work.\n\nOrganization: FWS\nName: Jack Lentfer\nYears: 1957-1964, 1972-1977\nProgram:\n\nKeywords: Employee, Biography, Biologist, History, Military, Air craft, Boats, Marine mammals, Center for Biological Diversity, International Union for Conservation of Nature, Banding, Surveys, Waterfowl, National Resource Defense Council, Fishes, River Basin Studies, Earth Watch, Bradley Lake Project, Graying Study, Chatanika River, Susitna River, Anchor River
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.453 | 0.177 |
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".