Bibliographic record
Abstract
Greater Snow Goose (Chen hyperboreus nivalis) in Arkansas.--OnMarch 28, 1913, a farmer living three miles west of this city shot an adult male Greater Snow Goose in his field.The bird was seen feeding all day but no others of its species were observed near.I examined it carefully in the flesh and found it to be in perfect plumage.Dr. C. H. Luther of this city, who made it up into a skin, informed me that the specimen was in good condition and that he found only fresh wounds on the body.--ALBERTLA•O, Fayetteville, Arkansas.Feeding Wild Ducks on Sodus Bay, N.Y.--Sodus Bay, one of the largest bays on the southern shore of Lake Ontario, was the scene of an interesting experiment in the feeding of wild ducks during the months of February and March, 1913.The bay, which is a large irregularly shaped body of water, containing several islands, is frequented in the spring and fall by large numbers of ducks.The winter was unusually mild up to the first of February, and many ducks remained on a large area of the bay which was open, and where they apparently found plenty of food.About February I the weather turned suddenly cold, with heavy snow storms and high winds.This caused the bay to freeze entirely over, preventing the ducks from reaching there feeding grounds.On February 4 the weather was very stormy, and several thousand ducks were noted in places still remaining open.On February 5 Mr. Claude T. DeVille, the state game protector at Sodus Point, noted that the ducks were flying to places kept open by men harvesting ice.The ducks were very fearless and were apparently suffering from lack of food.On the succeeding day, February 6, he obtained a quantity of wheat, and tried feeding the ducks.The grain was readily eaten and he immediately wrote the New York State Conservation Commission, notifying them of the presence of the ducks and the necessity of relief measures.The Commission promptly responded, and on February 10, Mr. DeVille received word to purchase grain and feed the ducks.He first tried feeding by throwing the grain in the water, but the ducks were so weak that they apparently had difficulty in reaching bottom in sixteen feet of water.This fact alone shows the extremes to which the ducks were reduced, as they were mainly Bluebills, Redheads and Canvasbacks, all of which feed at considerable depths.He then tried placing the grain on the ice on a place scraped clear of snow near the edge of the open water.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".