Bibliographic record
Abstract
The Status of Pollinators Yet another environmental warning sign of the overwhelming influence of human activity on the global ecosystem?A mysterious phenomenon is wiping out honey bee colonies in the United States, Brazil, Canada, India, and parts of Europe.The loss of nature's best known pollinator could have a significant effect on agriculture and the food supply.In the United States, populations of the honey bee (genus Apis)-North America's most important pollinator-are in decline.According to a US Department of Agriculture census, the number of commercially managed colonies has declined from approximately 6 million in the 1940s to less than 2.4 million in 2002 (USDA 2002).During the first 6 months of this year, beekeepers became increasingly alarmed, reporting the loss of nearly one-fourth of their colonies-about 5 times the normal winter loss.According to the US Department of Agriculture, about one-third of the human diet comes from insect-pollinated plants, and the honey bee is responsible for 80% of that pollination.Honey bees play an integral role in the world food supply, and are essential for pollination worldwide of a wide range of fruits, vegetables, tree nuts, forage crops, some field
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".