Bibliographic record
Abstract
Canada, Mexico, and Central America over the following 32 years.In 1937, when the prairie pothole region was in the throes of drought and waterfowl populations were seriously depressed, Saunders and fellow flyway biologists were broadly instructed to "go up there [Canada] and find what you can" about the situation.During the summers of 1937-1939, he and U.S. and Canadian colleagues gathered baseline information and developed methodologies for monitoring breeding waterfowl populations and production.Additionally, he commenced field studies of wintering waterfowl in Mexico.George literally migrated with the waterfowl.After 1939 his summer assignments involved studies of breeding White-winged Doves (Zenaidia asiatica) in the Lower Rio Grande Valley, Texas.Also, he conducted biological investigations of many proposed national wildlife areas, including the future Aransas, Laguna Atascosa, and Santa Ana national wildlife refuges in Texas.George was among the first to use low-flying aircraft to monitor breeding and wintering waterfowl in North America, and in 1947 he and pilot-biologist Dave Spencer initiated the first midwinter waterfowl surveys of Mexico and Central America.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 teacher head, 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".