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
The only portable full-color photographic guide to the most commonly seen bees east of the Mississippi RiverBees play a vitally important role in the pollination of native plants and agricultural crops around the globe. Common Bees of Eastern North America is the first species-level photographic field guide to the most commonly seen bees in the eastern United States and Canada. Identifying bees to species is challenging even for taxonomists. This book walks you through the process of bee identification using breathtaking high-resolution color photos that highlight the unique characteristics of each species, making identification easier. Full of essential facts about the natural history of these magnificent creatures, this is the must-have field guide for naturalists and backyard gardeners alike.Covers 125 of the most commonly seen species in the eastern United States and CanadaFeatures 500 stunning close-up photos in full colorShows multiple images for each species, with arrows highlighting key identifying marksProvides silhouette images depicting the actual size of each speciesDescribes key identification features, size, phenology, floral preference, nesting, and related speciesIncludes a range map for every speciesContains a taxonomic key to the bee genera of the eastern United States and Canada
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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