Bibliographic record
Abstract
Vespa orientalis Linnaeus, 1771, better known as the oriental hornet, is a species belonging to the genus Vespa. Members of this genus are found in Asia, North Africa, the Arabian Peninsula, India, Nepal, China (Carpenter et al., 1997; Archer, 1998), South America (Dvorak, 2006), the United States, Canada (Carpenter et al., 1997), and of course Europe (Cetkovic, 2002). In Italy, the genus Vespa is represented not only by V. orientalis but also by Vespa crabro Linnaeus, 1758 (the European hornet) and Vespa velutina Lepeletier, 1856 (the Asian hornet). V. orientalis has a diet composed mainly of sugars and proteins, which it obtains from plants and various organic waste. Predation, especially targeting Apis mellifera (the honeybee), is an important method for acquiring food. The colonies are annual: nests are founded in early spring and then “disband” at the end of November or the beginning of December. The new fertilized queens, after overwintering, will found new colonies the following spring. In rural areas, nests are built underground, while in urban environments, they make use of dry, warm, and quiet spaces. Most citizens notice their presence only later in the season, when the nests have reached their full development. To deal with infestations, it is necessary to contact specialized companies equipped to intervene safely. However, it is important to remember that, being a pollinator, V. orientalis should not be eradicated but rather managed through sustainable control methods that protect trophic networks and biodiversity.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".