Bibliographic record
Abstract
Kingbird, California Jay, Brewer's Blackbird, Bullock's Oriole, and Green-backed Goldfinch.--J. A. A. McAtee's 'Plants Useful to Attract Birds and Protect Fruit.'•--Attention is here called "to the plants which best serve to provide food for birds and to draw their attention away from cultivated crops."A list of the species of native plants most resorted to for food by birds is given.From this list species can be selected for cultivation which will afford both shelter and a continuous supply of food, including some which retain their fruit through the winter and furnish a food supply at seasons when bird food is hardest to obtain.Food plants are suggested for various groups of birds, and for different regions.The mulberry is recommended as unsurpassed for alluring birds from early orchard fruits.There are also suggestions for providing water and favorable haunts, as well as food, and for the protection of birds from cats and other predatory animals.--J. A. A. Game Laws for 1910. 2 --This is the eleventh annual summary of the game laws of the United States and Canada, and reviews the laws which passed, and which failed to pass, during 1910, together with a schedule of open seasons, and the regulations respecting the shipment and sale of game, and the obtaining of licenses for hunting and shipping, under the Federal and State laws of the United States, and the orders in council of the Canadian Provinces.These annual digests are of great importance and convenience as a source of definite information for sportsmen and game protectors, and form a valuable record of progress in bird and game protection.-J. A. A.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 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 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".