Following the Wild Bees: The Craft and Science of Bee Hunting
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Following the Wild Bees: The Craft and Science of Bee Hunting Thomas D. Seeley 2016; 184 pages, 50 color illustrations Princeton University Press, Princeton, NJ ISBN: 978-1-400880-33-1 $22.95 (hardcover) ![Graphic][1] In the summer of 1975, I traveled to French Guiana to study “killer bees.” Disappointed that only a handful of swarms had colonized the trap nests he installed six months earlier, my advisor, Chip Taylor, decided we should try “bee lining.” We bought a jar of honey and headed to a nearby park. We caught several honey bees on flowers, enclosed them in a cup containing diluted honey, set the cup on the hood of our rented car, and removed the cover. I'd learned a bit about the recruitment dances performed by successful foragers but had no idea what to expect from our exercise. The bees finished feeding, circled the feeder, and flew from sight. To our amazement, a bee … [1]: /embed/inline-graphic-1.gif
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it