Chapter 8: Introducing the Alfalfa Leafcutting Bee, <i>Megachile rotundata</i> (F.) (Hymenoptera: Megachilidae), into Australia: A Case Study
Bibliographic record
Abstract
The introduction of foreign bees for agricultural pollination raises two major concerns: accidental introduction of pests, diseases, and parasites; and potential competition with native pollinators. Alfalfa seed production in Australia yields only one-third of that in North America, one of the main factors being poor pollination. In 1995, Pioneer Hi-Bred International and International Pollination Systems-U.S.A. applied to the Australian Quarantine and Inspection Service (AQIS) for permission to import the alfalfa leafcutting bee, Megachile rotundata (F.), from Canada into Australia to improve pollination of alfalfa. A team comprising representatives of Australian seed producers, the Australian beekeeping industry. Environment Australia, and Commonwealth Scientific and Industrial Research Organization examined the issue and advised AQIS to allow limited importations in 1998 of Canadian alfalfa leafcutting bees. A rigorous protocol was required to ensure other organisms were not released with the bees, which involved obtaining high-quality Canadian stock, providing cold storage to eliminate mites, using Vapona treatment to control parasitoids, and dipping adult bees in sodium hypochlorite or iodine to kill chalkbrood spores. In 1998, 200,000 Canadian alfalfa leafcutting bees were released in Australia; in 1999, that number was increased to 650,000. Poor recoveries are leading to additional research.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".