The mite <i>Varroa destructor</i> lowers the stinging response threshold of honey bees ( <i>Apis mellifera</i> )
Bibliographic record
Abstract
The ecto-parasitic mite Varroa destructor is an extremely damaging biotic factor of honey bees (Apis mellifera) worldwide. The magnitude of the damage that V. destructor causes to the health of honey bees is well documented, but little is known about how it affects their behavior. For example, it is not known whether parasitism by V. destructor influences the bees’ defensive behavior, and since this behavior has evolutionary and practical implications, its study is of importance. In this research, we used a constant-current stimulator to expose worker bees to a 0.5 mA electric stimulus after being parasitized by Varroa mites to test the hypothesis that V. destructor parasitism affects the stinging response threshold of individual honey bees. Bees exposed to V. destructor parasitism stung significantly faster than control bees in each of three trials (p < 0.05) and thus, it is concluded that the irritation caused by V. destructor reduces the stinging response threshold of honey bees. The implications of these findings are discussed, as well as the need for further studies to understand how V. destructor affects neuronal processes in the honey bee to make them more defensive.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".