Single bumblebee leaving colony for first time seeks company
Bibliographic record
Abstract
For social learning to occur in bumblebees, individuals must first be drawn to the relevant stimuli from which to learn. Here we investigate whether bumblebees (Bombus impatiens) leaving their colony for the first time are drawn to other live bees. In Experiment 1, flower-naïve workers were tested for their preferences of stimuli presented in a radial maze. Live bees, artificial floral patterns and black disks were presented at two different densities (1 vs 6 objects). A marked preference for the six live bees was obtained. Experiment 2 isolated the variable of movement: black disks vs dead bees were presented on a platform that was either stationary or rotating. A preference for moving over stationary displays was obtained, as well as a preference for displays comprising bees rather than disks. Flower-naïve bumblebees leave their nest equipped with behavioural tendencies that can serve to initiate new social encounters from which to learn.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".