Nesting and mating behaviours, and alternative nesting tactics of the blue nest-renting wasp <i>Chalybion japonicum</i> (Gribodo) (Hymenoptera: Sphecidae)
Bibliographic record
Abstract
The blue nest-renting wasp ( Chalybion japonicum (Gribodo, 1882)) exhibited three nesting tactics, use of existing cavities, nest usurpation, and brood parasitism. The last nesting tactic is reported as new for the genus Chalybion. The first is the well-known type of nesting tactic for the wasp. In this nesting tactic, females of Chalybion japonicum utilized nesting substrates including mud cells, trap nests, and pre-existing holes without modifying them and provisioned them with paralyzed spiders of their own. For the second nesting tactic, Chalybion japonicum usurped building or completely provisioned nest cells of the mud-dauber wasp ( Sceliphron deforme (F. Smith, 1856)), provisioned them with its spiders, or removed the host’s spiders and stored its own spiders. In the last nesting tactic, Chalybion japonicum penetrated into completely provisioned or provisioning nest cells of the mud-dauber wasp ( Sceliphron madraspatanum (Fabricius, 1781)), removed the host’s egg, used the host’s prey intact, and laid its egg. Courtship of Chalybion japonicum took place in the morning over the top of the mock lemon ( Aglaia odor ata (D.)). Up to 12 males followed a female in flight and copulation took place at nesting sites when a larger male caught up the female.
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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 | 0.001 | 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".